Inter-frame prediction method and device

文档序号：1415837 发布日期：2020-03-10 浏览：12次中文

阅读说明：本技术 一种帧间预测的方法及装置 (Inter-frame prediction method and device ) 是由张娜郑建铧于 2018-08-29 设计创作，主要内容包括：本申请实施例涉及一种帧间预测的方法和装置,该方法包括：确定待处理图像块中的基本预测块的尺寸,该尺寸用于确定基本预测块在待处理图像块中的位置；根据该位置,确定基本预测块的第一参考块和第二参考块,其中,第一参考块的左边界线和基本预测单元的左边界线共线,第二参考块的上边界线和基本预测单元的上边界线共线,第一参考块与待处理图像块的上边界线邻接,第二参考块与待处理图像块的左边界线邻接；对第一参考块对应的运动矢量、第二参考块对应的运动矢量以及与待处理图像块具有预设位置关系的原始参考块对应的运动矢量中的一个或多个进行加权计算,以获得基本预测块对应的运动矢量。(The embodiment of the application relates to a method and a device for inter-frame prediction, wherein the method comprises the following steps: determining the size of a basic prediction block in the image block to be processed, wherein the size is used for determining the position of the basic prediction block in the image block to be processed; determining a first reference block and a second reference block of the basic prediction block according to the position, wherein a left boundary of the first reference block and a left boundary of the basic prediction unit are collinear, an upper boundary of the second reference block and an upper boundary of the basic prediction unit are collinear, the first reference block is adjacent to the upper boundary of the image block to be processed, and the second reference block is adjacent to the left boundary of the image block to be processed; and performing weighted calculation on one or more of the motion vector corresponding to the first reference block, the motion vector corresponding to the second reference block and the motion vector corresponding to the original reference block with a preset position relation with the image block to be processed to obtain the motion vector corresponding to the basic prediction block.)

1. A method of inter-prediction, comprising:

determining a size of a basic prediction block in an image block to be processed, wherein the size is used for determining the position of the basic prediction block in the image block to be processed;

determining a first reference block and a second reference block of the basic prediction block according to the position, wherein a left boundary of the first reference block and a left boundary of the basic prediction unit are collinear, an upper boundary of the second reference block and an upper boundary of the basic prediction unit are collinear, the first reference block is adjacent to an upper boundary of the image block to be processed, and the second reference block is adjacent to a left boundary of the image block to be processed;

and performing weighted calculation on one or more of the motion vector corresponding to the first reference block, the motion vector corresponding to the second reference block and the motion vector corresponding to the original reference block with a preset position relation with the image block to be processed to obtain the motion vector corresponding to the basic prediction block.

2. The method according to claim 1, wherein the original reference block having a predetermined positional relationship with the image block to be processed comprises: and the original reference block has a preset spatial domain position relation with the image block to be processed and/or has a preset time domain position relation with the image block to be processed.

3. The method according to claim 2, wherein the original reference block having a preset spatial position relationship with the image block to be processed comprises: the image block processing method comprises the following steps of an image block which is located at the upper left corner of an image block to be processed and is adjacent to the upper left corner point of the image block to be processed, an image block which is located at the upper right corner of the image block to be processed and is adjacent to the upper right corner point of the image block to be processed, and one or more image blocks which are located at the lower left corner of the image block to be processed and are adjacent to the lower left corner point of the image block to be processed, wherein an original reference block which has a preset spatial domain position relation with the image block to be processed is located outside the image block to be.

4. The method according to claim 2 or 3, wherein the original reference block having a preset temporal position relationship with the image block to be processed comprises: and the image block is positioned at the lower right corner of the mapping image block and adjacent to the lower right corner point of the mapping image block in the target reference frame, wherein the original reference block which has a preset time domain position relation with the to-be-processed image block is positioned outside the mapping image block, the size of the mapping image block is equal to that of the to-be-processed image block, and the position of the mapping image block in the target reference frame is the same as that of the to-be-processed image block in the image frame where the to-be-processed image block is positioned.

5. The method of claim 4, wherein the index information and the reference frame list information of the target reference frame are obtained by parsing the codestream.

6. The method according to claim 5, wherein the index information and reference frame list information of the target reference frame are located in a code stream segment corresponding to a slice head of a slice in which the to-be-processed image block is located.

7. The method according to any of claims 4 to 6, wherein the performing weighted computation on one or more of the motion vector corresponding to the first reference block, the motion vector corresponding to the second reference block, and the motion vector corresponding to the original reference block having a preset positional relationship with the image block to be processed to obtain the motion vector corresponding to the basic prediction block comprises: the motion vector corresponding to the basic prediction block is obtained according to the following formula:

P(x，y)＝(H×P_h(x，y)+W×P_v(x，y)+H×W)/(2×H×W),

wherein the content of the first and second substances,

P_h(x，y)＝(W-1-x)×L(-1，y)+(x+1)×R(W，y)

P_v(x，y)＝(H-1-y)×A(x，-1)+(y+1)×B(x，H)

R(W，y)＝((H-y-1)×AR+(y+1)×BR)/H

B(x，H)＝((W-x-1)×BL+(x+1)×BR)/W

AR is a motion vector corresponding to the image block located at the upper right corner of the to-be-processed image block and adjacent to the upper right corner point of the to-be-processed image block, BR is a motion vector corresponding to the image block located at the lower right corner of a mapped image block and adjacent to the lower right corner point of the mapped image block in a target reference frame, BL is a motion vector corresponding to the image block located at the lower left corner of the to-be-processed image block and adjacent to the lower left corner point of the to-be-processed image block, x is a ratio of a horizontal distance of the upper left corner point of the basic prediction block relative to the upper left corner point of the to-be-processed image block to a width of the basic prediction block, y is a ratio of a vertical distance of the upper left corner point of the basic prediction block relative to the upper left corner point of the to-be-processed image block to a height of the, w is the ratio of the width of the image block to be processed to the width of the basic prediction block, L (-1, y) is the motion vector corresponding to the second reference block, A (x, -1) is the motion vector corresponding to the first reference block, and P (x, y) is the motion vector corresponding to the basic prediction block.

8. The method according to any of claims 1 to 7, wherein said determining the size of the basic prediction block in the image block to be processed comprises:

when the side lengths of two adjacent sides of the basic prediction block are not equal, determining that the side length of the shorter side of the basic prediction block is 4 or 8;

when the side lengths of two adjacent sides of the basic prediction block are equal, determining that the side length of the basic prediction block is 4 or 8.

9. The method according to any of claims 1 to 7, wherein said determining the size of the basic prediction block in the image block to be processed comprises:

and analyzing a first identifier from a code stream, wherein the first identifier is used for indicating the size of the basic prediction block, and the first identifier is located in a code stream segment corresponding to one of a sequence parameter set of a sequence in which the image blocks to be processed are located, an image parameter set of an image in which the image blocks to be processed are located, and a strip header of a strip in which the image blocks to be processed are located.

10. The method according to claim 7, wherein said determining the size of the basic prediction block in the to-be-processed image block comprises:

the size of the basic prediction block is determined according to the size of a planar mode prediction block in a previously reconstructed image, the planar mode prediction block being an image block to be processed which is inter-predicted according to the method of any one of claims 1 to 7, the previously reconstructed image being an image which is located in coding order before the image block to be processed.

11. The method according to claim 10, wherein said determining the size of the basic prediction block according to the size of the planar mode prediction block in a previously reconstructed image of the image in which the image block to be processed is located comprises:

calculating an average of the products of width and height of all the planar mode prediction blocks in the previous reconstructed image;

when the average value is smaller than a threshold value, the size of the basic prediction block is a first size;

when the average is greater than or equal to the threshold, the size of the basic prediction block is a second size, wherein the first size is smaller than the second size.

12. The method according to claim 11, wherein the previous reconstructed image is a reconstructed image that is closest to the image in which the to-be-processed image block is located in the encoding order among images having the same temporal layer identifier as the image in which the to-be-processed image block is located.

13. The method according to claim 11, wherein said previous reconstructed picture is the reconstructed picture that is closest in coding order to the picture in which said image block to be processed is located.

14. The method according to any of claims 11 to 13, wherein the previous reconstructed image is a plurality of images, and wherein said calculating an average of the products of width and height of all of the planar-mode prediction blocks in the previous reconstructed image comprises: calculating an average of products of widths and heights of all of the planar-mode prediction blocks in the plurality of previously reconstructed images.

15. The method according to any one of claims 11 to 14, wherein the threshold value is a preset threshold value.

16. The method according to any of claims 11 to 15, wherein the threshold is a first threshold when POC of reference frames of the picture in which the to-be-processed image block is located is smaller than POC of the picture in which the to-be-processed image block is located; when the POC of at least one reference frame of the picture in which the to-be-processed image block is located is greater than the POC of the picture in which the to-be-processed image block is located, the threshold is a second threshold, wherein the first threshold and the second threshold are different.

17. The method according to any of claims 1 to 16, further comprising, after said determining the size of the basic prediction block in the to-be-processed image block:

dividing the image block to be processed into a plurality of basic prediction blocks according to the size;

and sequentially determining the position of each basic prediction block in the image block to be processed.

18. The method according to any of claims 1 to 17, wherein prior to said determining the size of the basic prediction block in the to-be-processed image block, the method further comprises:

and determining that the first reference block and the second reference block are positioned in the image boundary where the image block to be processed is positioned.

19. The method according to any of claims 1 to 18, wherein prior to said determining the size of the basic prediction block in the to-be-processed image block, the method further comprises:

determining that the width of the image block to be processed is greater than or equal to 16 and the height of the image block to be processed is greater than or equal to 16; or determining that the width of the image block to be processed is greater than or equal to 16; or, determining that the height of the image block to be processed is greater than or equal to 16.

20. The method according to any of the claims 1 to 19, wherein the method is used for encoding the image block to be processed or for decoding the image block to be processed.

21. An apparatus for inter-frame prediction, comprising:

a determining module, configured to determine a size of a basic prediction block in an image block to be processed, where the size is used to determine a position of the basic prediction block in the image block to be processed;

a positioning module, configured to determine, according to the position, a first reference block and a second reference block of the basic prediction block, wherein a left boundary of the first reference block and a left boundary of the basic prediction unit are collinear, an upper boundary of the second reference block and an upper boundary of the basic prediction unit are collinear, the first reference block is adjacent to an upper boundary of the image block to be processed, and the second reference block is adjacent to a left boundary of the image block to be processed;

and the calculating module is used for performing weighted calculation on one or more of the motion vector corresponding to the first reference block, the motion vector corresponding to the second reference block and the motion vector corresponding to the original reference block with a preset position relation with the image block to be processed so as to obtain the motion vector corresponding to the basic prediction block.

22. The apparatus according to claim 21, wherein the original reference block having a predetermined positional relationship with the image block to be processed comprises: and the original reference block has a preset spatial domain position relation with the image block to be processed and/or has a preset time domain position relation with the image block to be processed.

23. The apparatus according to claim 22, wherein the original reference block having a predetermined spatial position relationship with the image block to be processed comprises: the image block processing method comprises the following steps of an image block which is located at the upper left corner of an image block to be processed and is adjacent to the upper left corner point of the image block to be processed, an image block which is located at the upper right corner of the image block to be processed and is adjacent to the upper right corner point of the image block to be processed, and one or more image blocks which are located at the lower left corner of the image block to be processed and are adjacent to the lower left corner point of the image block to be processed, wherein an original reference block which has a preset spatial domain position relation with the image block to be processed is located outside the image block to be.

24. The apparatus according to claim 22 or 23, wherein the original reference block having a preset temporal position relationship with the image block to be processed comprises: and the image block is positioned at the lower right corner of the mapping image block and adjacent to the lower right corner point of the mapping image block in the target reference frame, wherein the original reference block which has a preset time domain position relation with the to-be-processed image block is positioned outside the mapping image block, the size of the mapping image block is equal to that of the to-be-processed image block, and the position of the mapping image block in the target reference frame is the same as that of the to-be-processed image block in the image frame where the to-be-processed image block is positioned.

25. The apparatus of claim 24, wherein the index information and the reference frame list information of the target reference frame are obtained by parsing the codestream.

26. The apparatus according to claim 25, wherein the index information and reference frame list information of the target reference frame are located in a code stream segment corresponding to a slice head of a slice in which the to-be-processed image block is located.

27. The apparatus according to any of the claims 24 to 26, wherein the calculation module is specifically configured to obtain the motion vector corresponding to the basic prediction block according to the following formula:

P(x，y)＝(H×P_h(x，y)+W×P_v(x，y)+H×W)/(2×H×W),

wherein the content of the first and second substances,

P_h(x，y)＝(W-1-x)×L(-1，y)+(x+1)×R(W，y)

P_v(x，y)＝(H-1-y)×A(x，-1)+(y+1)×B(x，H)

R(W，y)＝((H-y-1)×AR+(y+1)×BR)/H

B(x，H)＝((W-x-1)×BL+(x+1)×BR)/W

28. The apparatus according to any one of claims 21 to 27, wherein the determining module is specifically configured to:

when the side lengths of two adjacent sides of the basic prediction block are not equal, determining that the side length of the shorter side of the basic prediction block is 4 or 8;

when the side lengths of two adjacent sides of the basic prediction block are equal, determining that the side length of the basic prediction block is 4 or 8.

29. The apparatus according to any one of claims 21 to 27, wherein the determining module is specifically configured to:

30. The apparatus of claim 27, wherein the determining module is specifically configured to: the size of the basic prediction block is determined according to the size of a planar mode prediction block in a previously reconstructed image, the planar mode prediction block being an image block to be processed for inter prediction by the apparatus according to any one of claims 21 to 27, the previously reconstructed image being an image that precedes, in coding order, the image block to be processed.

31. The apparatus of claim 30, wherein the determining module is specifically configured to:

calculating an average of the products of width and height of all the planar mode prediction blocks in the previous reconstructed image;

when the average value is smaller than a threshold value, the size of the basic prediction block is a first size;

when the average is greater than or equal to the threshold, the size of the basic prediction block is a second size, wherein the first size is smaller than the second size.

32. The apparatus according to claim 31, wherein the previous reconstructed image is a reconstructed image that is closest to the image where the to-be-processed image block is located in a coding order among images having a same temporal layer identifier as the image where the to-be-processed image block is located.

33. The apparatus according to claim 31, wherein the previous reconstructed picture is a reconstructed picture that is closest in coding order to the picture in which the image block to be processed is located.

34. The apparatus according to any one of claims 31 to 33, wherein the previously reconstructed images are a plurality of images, and wherein the determining means is configured to: calculating an average of products of widths and heights of all of the planar-mode prediction blocks in the plurality of previously reconstructed images.

35. The apparatus of any one of claims 31 to 34, wherein the threshold is a preset threshold.

36. The apparatus according to any of claims 31 to 35, wherein the threshold is a first threshold when POC of reference frames of the picture in which the to-be-processed image block is located is smaller than POC of the picture in which the to-be-processed image block is located; when the POC of at least one reference frame of the picture in which the to-be-processed image block is located is greater than the POC of the picture in which the to-be-processed image block is located, the threshold is a second threshold, wherein the first threshold and the second threshold are different.

37. The apparatus according to any one of claims 21 to 36, further comprising a dividing module configured to:

dividing the image block to be processed into a plurality of basic prediction blocks according to the size;

and sequentially determining the position of each basic prediction block in the image block to be processed.

38. The apparatus according to any one of claims 21 to 37, further comprising a determining module configured to:

and determining that the first reference block and the second reference block are positioned in the image boundary where the image block to be processed is positioned.

39. The apparatus according to any one of claims 21 to 38, wherein the determining module is further configured to:

40. The apparatus according to any of claims 21 to 39, wherein the apparatus is configured to encode the image block to be processed, or decode the image block to be processed.

Technical Field

The present application relates to the field of video encoding and decoding technologies, and in particular, to a method and an apparatus for inter-frame prediction of a video image.

Background

Digital video capabilities can be incorporated into a wide variety of devices, including digital televisions, digital direct broadcast systems, wireless broadcast systems, Personal Digital Assistants (PDAs), laptop or desktop computers, tablet computers, electronic book readers, digital cameras, digital recording devices, digital media players, video gaming devices, video gaming consoles, cellular or satellite radio telephones (so-called "smart phones"), video teleconferencing devices, video streaming devices, and the like. Digital video devices implement video compression techniques, such as those described in the standards defined by MPEG-2, MPEG-4, ITU-T H.263, ITU-T H.264/MPEG-4 part 10 Advanced Video Coding (AVC), the video coding standard H.265/High Efficiency Video Coding (HEVC), and extensions of such standards. Video devices may transmit, receive, encode, decode, and/or store digital video information more efficiently by implementing such video compression techniques.

Video compression techniques perform spatial (intra-picture) prediction and/or temporal (inter-picture) prediction to reduce or remove redundancy inherent in video sequences. For block-based video coding, a video slice (i.e., a video frame or a portion of a video frame) may be partitioned into tiles, which may also be referred to as treeblocks, Coding Units (CUs), and/or coding nodes. An image block in a to-be-intra-coded (I) strip of an image is encoded using spatial prediction with respect to reference samples in neighboring blocks in the same image. An image block in a to-be-inter-coded (P or B) slice of an image may use spatial prediction with respect to reference samples in neighboring blocks in the same image or temporal prediction with respect to reference samples in other reference images. A picture may be referred to as a frame and a reference picture may be referred to as a reference frame.

Various video coding standards, including the High Efficiency Video Coding (HEVC) standard, among others, propose predictive coding modes for image blocks, i.e. predicting a currently coded image block based on already coded image blocks. In intra-prediction mode, predicting a currently decoded image block based on one or more previously decoded neighboring blocks in the same picture as the current block; in the inter prediction mode, a currently decoded image block is predicted based on already decoded blocks in a different image.

However, several inter prediction modes such as Merge mode (Merge mode), skip mode (skip mode), and advanced motion vector prediction mode (AMVP mode) still cannot meet the requirement of the actual different application scenarios on the prediction accuracy of the motion vector.

Disclosure of Invention

The embodiment of the application provides a method and a device for inter-frame prediction, and particularly provides an inter-frame prediction mode, wherein the inter-frame prediction mode utilizes a motion vector corresponding to a spatial domain or time domain reference block which has a relevant position relation with a block to be processed to perform interpolation to obtain a motion vector corresponding to each sub-block in the block to be processed, so that the efficiency of inter-frame prediction is improved, and meanwhile, the balance of coding gain and complexity is further realized by adjusting the size of the sub-block, limiting the applicable condition of the inter-frame prediction mode and the like. It should be understood that the motion vector corresponding to each sub-block of the to-be-processed image block obtained by interpolation may be directly used as the motion vector of each sub-block of the to-be-processed image block to participate in motion compensation, or may be used as a predicted value of the motion vector of each sub-block, and further obtain the motion vector according to the predicted value, and then perform motion compensation. The inter-frame prediction method related to the embodiment of the application can be used as a prediction mode together with other prediction modes in the prior art, rate distortion selection is participated in at an encoding end, when the prediction mode is determined as the optimal prediction mode by the encoding end, identification information in a prediction mode set can be encoded into a code stream and transmitted to a decoding end as the prediction mode in the prior art, and the decoding end can analyze the prediction mode according to the received code stream information to realize the consistency of the encoding and decoding ends.

In a first aspect of embodiments of the present application, a method for inter-frame prediction is provided, including: determining a size of a basic prediction block in an image block to be processed, wherein the size is used for determining the position of the basic prediction block in the image block to be processed; determining a first reference block and a second reference block of the basic prediction block according to the position, wherein a left boundary of the first reference block and a left boundary of the basic prediction unit are collinear, an upper boundary of the second reference block and an upper boundary of the basic prediction unit are collinear, the first reference block is adjacent to an upper boundary of the image block to be processed, and the second reference block is adjacent to a left boundary of the image block to be processed; and performing weighted calculation on one or more of the motion vector corresponding to the first reference block, the motion vector corresponding to the second reference block and the motion vector corresponding to the original reference block with a preset position relation with the image block to be processed to obtain the motion vector corresponding to the basic prediction block.

The beneficial effects of the embodiment are as follows: each sub-block (namely, the basic prediction block) in the image block to be processed is divided into different motion vectors, so that a motion vector field corresponding to the image block to be processed is more accurate, and the prediction efficiency is improved.

In a first possible implementation manner of the first aspect, the original reference block having a preset positional relationship with the image block to be processed includes: and the original reference block has a preset spatial domain position relation with the image block to be processed and/or has a preset time domain position relation with the image block to be processed.

The beneficial effects of the embodiment are as follows: the reference block used for generating the motion vector corresponding to the basic prediction block is reasonably selected, and the reliability of the generated motion vector is improved.

In a second possible implementation manner of the first aspect, an original reference block having a preset spatial position relationship with the image block to be processed includes: the image block processing method comprises the following steps of an image block which is located at the upper left corner of an image block to be processed and is adjacent to the upper left corner point of the image block to be processed, an image block which is located at the upper right corner of the image block to be processed and is adjacent to the upper right corner point of the image block to be processed, and one or more image blocks which are located at the lower left corner of the image block to be processed and are adjacent to the lower left corner point of the image block to be processed, wherein an original reference block which has a preset spatial domain position relation with the image block to be processed is located outside the image block to be processed.

The beneficial effects of the embodiment are as follows: a spatial reference block for generating a motion vector corresponding to a basic prediction block is selected appropriately, and the reliability of the generated motion vector is improved.

In a third possible implementation manner of the first aspect, an original reference block having a preset temporal location relationship with the image block to be processed includes: and image blocks which are positioned at the lower right corner of the image blocks and are adjacent to the lower right corner of the image blocks in the target reference frame, wherein the original reference blocks which have a preset time domain position relation with the image blocks to be processed are positioned outside the image blocks to be processed, the sizes of the image blocks to be processed and the image blocks to be processed are equal, and the positions of the image blocks to be processed in the target reference frame are the same as the positions of the image blocks to be processed in the image frame of the image blocks to be processed.

The beneficial effects of the embodiment are as follows: the temporal reference block used for generating the motion vector corresponding to the basic prediction block is reasonably selected, and the reliability of the generated motion vector is improved.

In a fourth possible implementation manner of the first aspect, the index information and the reference frame list information of the target reference frame are obtained by parsing the codestream.

The beneficial effects of the embodiment are as follows: compared with the preset target reference frame in the prior art, the target reference frame can be flexibly selected, so that the corresponding time domain reference block is more reliable.

In a fifth feasible implementation manner of the first aspect, the index information and the reference frame list information of the target reference frame are located in a code stream segment corresponding to a slice head of a slice in which the to-be-processed image block is located.

The beneficial effects of the embodiment are as follows: the identification information of the target reference frame is stored in the strip head, and all time domain reference blocks of the image block in the strip share the same reference frame information, so that the coding code stream is saved, and the coding efficiency is improved.

In a sixth possible implementation manner of the first aspect, the performing weighted calculation on one or more of the motion vector corresponding to the first reference block, the motion vector corresponding to the second reference block, and the motion vector corresponding to the original reference block having a preset positional relationship with the image block to be processed to obtain the motion vector corresponding to the basic prediction block includes: the motion vector corresponding to the basic prediction block is obtained according to the following formula:

P(x，y)＝(H×P_h(x，y)+W×P_v(x，y)+H×W)/(2×H×W),

wherein the content of the first and second substances,

P_h(x，y)＝(W-1-x)×L(-1，y)+(x+1)×R(W，y)

P_v(x，y)＝(H-1-y)×A(x，-1)+(y+1)×B(x，H)

R(W，y)＝((H-y-1)×AR+(y+1)×BR)/H

B(x，H)＝((W-x-1)×BL+(x+1)×BR)/W

AR is a motion vector corresponding to the image block located at the upper right corner of the to-be-processed image block and adjacent to the upper right corner point of the to-be-processed image block, BR is a motion vector corresponding to the image block located at the lower right corner of the to-be-processed image block and adjacent to the lower right corner point of the to-be-processed image block in the target reference frame, BL is a motion vector corresponding to the image block located at the lower left corner of the to-be-processed image block and adjacent to the lower left corner point of the to-be-processed image block, x is a ratio of a horizontal distance of the upper left corner point of the basic prediction block relative to the upper left corner point of the to-be-processed image block to a width of the basic prediction block, y is a ratio of a vertical distance of the upper left corner point of the basic prediction block relative to the upper left corner point of the to-be-processed image block to, w is the ratio of the width of the image block to be processed to the width of the basic prediction block, L (-1, y) is the motion vector corresponding to the second reference block, A (x, -1) is the motion vector corresponding to the first reference block, and P (x, y) is the motion vector corresponding to the basic prediction block.

In this embodiment, the implementation manner of performing weighted calculation on one or more of the motion vector corresponding to the first reference block, the motion vector corresponding to the second reference block, and the motion vector corresponding to the original reference block having the preset positional relationship with the to-be-processed image block to obtain the motion vector corresponding to the basic prediction block is partially improved, and is not limited to this implementation manner.

In a seventh possible implementation manner of the first aspect, the determining the size of the basic prediction block in the image block to be processed includes: when the side lengths of two adjacent sides of the basic prediction block are not equal, determining that the side length of the shorter side of the basic prediction block is 4 or 8; when the side lengths of two adjacent sides of the basic prediction block are equal, determining that the side length of the basic prediction block is 4 or 8.

The beneficial effects of the embodiment are as follows: the size of the basic prediction block is fixed, reducing complexity.

In an eighth possible implementation manner of the first aspect, the determining the size of the basic prediction block in the image block to be processed includes: and analyzing a first identifier from a code stream, wherein the first identifier is used for indicating the size of the basic prediction block, and the first identifier is located in a code stream segment corresponding to one of a sequence parameter set of a sequence in which the image blocks to be processed are located, an image parameter set of an image in which the image blocks to be processed are located, and a strip header of a strip in which the image blocks to be processed are located.

The beneficial effects of the embodiment are as follows: the auxiliary information is added with the identification information of the size of the basic prediction block, thereby improving the adaptability to the image content.

In a ninth possible implementation manner of the first aspect, the determining the size of the basic prediction block in the image block to be processed includes: the size of the basic prediction block is determined according to the size of a planar mode prediction block in a previously reconstructed image, the planar mode prediction block being an image block to be processed which is inter-predicted according to any of the previous possible implementations of the first aspect, the previously reconstructed image being an image which is located in coding order before the image block to be processed.

In a tenth possible implementation manner of the first aspect, the determining, according to the size of the planar mode prediction block in a previously reconstructed image of an image in which the to-be-processed image block is located, the size of the basic prediction block includes: calculating an average of the products of width and height of all the planar mode prediction blocks in the previously reconstructed image; when the average value is smaller than a threshold value, the size of the basic prediction block is a first size; when the average is greater than or equal to the threshold, the size of the basic prediction block is a second size, wherein the first size is smaller than the second size.

The beneficial effects of the embodiment are as follows: the prior information is used for determining the size of the basic prediction block of the current image, and extra identification information is not required to be transmitted, so that the adaptability to the image is improved, and the condition that the coding code rate is not increased is ensured.

In an eleventh possible implementation manner of the first aspect, the previously reconstructed image is a reconstructed image that is closest to the image in which the image block to be processed is located in the encoding order, among images having the same temporal layer identifier as the image in which the image block to be processed is located.

The beneficial effects of the embodiment are as follows: and reasonably selecting the nearest reference frame in the same time domain layer to count the prior information, thereby improving the reliability of the statistical information.

In a twelfth possible implementation manner of the first aspect, the previously reconstructed image is a reconstructed image that is closest to the image where the image block to be processed is located in the encoding order.

The beneficial effects of the embodiment are as follows: the nearest reference frame is reasonably selected to count the prior information, so that the reliability of the statistical information is improved.

In a thirteenth possible implementation manner of the first aspect, the previously reconstructed image is a plurality of images, and correspondingly, the calculating an average value of products of widths and heights of all the plane mode prediction blocks in the previously reconstructed image includes: calculating an average of products of widths and heights of all of the planar-mode prediction blocks in the plurality of previously reconstructed images.

The beneficial effects of the embodiment are as follows: the statistical information of multiple frames is accumulated to determine the size of the basic prediction block in the current image, so that the reliability of statistics is improved.

In a fourteenth possible implementation manner of the first aspect, the threshold is a preset threshold.

In a fifteenth possible implementation manner of the first aspect, when POC of reference frames of an image in which the to-be-processed image block is located is smaller than POC of the image in which the to-be-processed image block is located, the threshold is a first threshold; when the POC of at least one reference frame of the picture in which the to-be-processed picture block is located is greater than the POC of the picture in which the to-be-processed picture block is located, the threshold is a second threshold, wherein the first threshold and the second threshold are different.

The beneficial effects of the embodiment are as follows: different thresholds can be set according to different coding scenes, and adaptability of the corresponding coding scenes is improved.

In a sixteenth possible implementation manner of the first aspect, after the determining the size of the basic prediction block in the image block to be processed, the method further includes: dividing the image block to be processed into a plurality of basic prediction blocks according to the size; and sequentially determining the position of each basic prediction block in the image block to be processed.

It should be understood that this embodiment determines the coordinate position of each basic prediction block in the image block to be processed.

In a seventeenth possible implementation manner of the first aspect, before the determining the size of the basic prediction block in the image block to be processed, the method further includes: and determining that the first reference block and the second reference block are positioned in the image boundary of the image block to be processed.

The beneficial effects of the embodiment are as follows: when the first reference block or the second reference block does not exist in the image block to be processed, the prediction method in the embodiment of the application is not adopted, and when the first reference block and the second reference block do not exist, the accuracy of the prediction method is reduced, and at the moment, the method is not adopted, so that unnecessary complexity overhead is avoided.

In an eighteenth possible implementation manner of the first aspect, before the determining the size of the basic prediction block in the to-be-processed image block, the method further includes: determining that the width of the image block to be processed is greater than or equal to 16 and the height of the image block to be processed is greater than or equal to 16; or determining that the width of the image block to be processed is greater than or equal to 16; or determining that the height of the image block to be processed is greater than or equal to 16.

The beneficial effects of the embodiment are as follows: when the image block to be processed is too small, the prediction method in the embodiment of the application is not adopted, so that the coding efficiency and the complexity are balanced.

In a nineteenth possible implementation manner of the first aspect, the method is used for encoding the image block to be processed, or decoding the image block to be processed.

It should be appreciated that embodiments of the present application relate to an inter-frame prediction method, which belongs to both a part of an encoding process and a part of a decoding process in a hybrid encoding architecture.

In a second aspect of embodiments of the present application, there is provided an apparatus for inter-prediction, including: a determining module, configured to determine a size of a basic prediction block in an image block to be processed, where the size is used to determine a position of the basic prediction block in the image block to be processed; a positioning module, configured to determine, according to the position, a first reference block and a second reference block of the basic prediction block, wherein a left boundary of the first reference block and a left boundary of the basic prediction unit are collinear, an upper boundary of the second reference block and an upper boundary of the basic prediction unit are collinear, the first reference block is adjacent to an upper boundary of the image block to be processed, and the second reference block is adjacent to the left boundary of the image block to be processed; and the calculation module is used for performing weighted calculation on one or more of the motion vector corresponding to the first reference block, the motion vector corresponding to the second reference block and the motion vector corresponding to the original reference block with a preset position relation with the image block to be processed so as to obtain the motion vector corresponding to the basic prediction block.

In a first possible implementation manner of the second aspect, the original reference block having a preset positional relationship with the image block to be processed includes: and the original reference block has a preset spatial domain position relation with the image block to be processed and/or has a preset time domain position relation with the image block to be processed.

In a second possible implementation manner of the second aspect, the original reference block having a preset spatial position relationship with the image block to be processed includes: the image block processing method comprises the following steps of an image block which is located at the upper left corner of an image block to be processed and is adjacent to the upper left corner point of the image block to be processed, an image block which is located at the upper right corner of the image block to be processed and is adjacent to the upper right corner point of the image block to be processed, and one or more image blocks which are located at the lower left corner of the image block to be processed and are adjacent to the lower left corner point of the image block to be processed, wherein an original reference block which has a preset spatial domain position relation with the image block to be processed is located outside the image block to be processed.

In a third possible implementation manner of the second aspect, an original reference block having a preset temporal position relationship with the image block to be processed includes: and image blocks which are positioned at the lower right corner of the image blocks and are adjacent to the lower right corner of the image blocks in the target reference frame, wherein the original reference blocks which have a preset time domain position relation with the image blocks to be processed are positioned outside the image blocks to be processed, the sizes of the image blocks to be processed and the image blocks to be processed are equal, and the positions of the image blocks to be processed in the target reference frame are the same as the positions of the image blocks to be processed in the image frame of the image blocks to be processed.

In a fourth possible implementation manner of the second aspect, the index information and the reference frame list information of the target reference frame are obtained by parsing the codestream.

In a fifth feasible implementation manner of the second aspect, the index information and the reference frame list information of the target reference frame are located in a code stream segment corresponding to a slice head of a slice in which the to-be-processed image block is located.

In a sixth possible implementation manner of the second aspect, the calculation module is specifically configured to obtain the motion vector corresponding to the basic prediction block according to the following formula:

P(x，y)＝(H×P_h(x，y)+W×P_v(x，y)+H×W)/(2×H×W),

wherein the content of the first and second substances,

P_h(x，y)＝(W-1-x)×L(-1，y)+(x+1)×R(W，y)

P_v(x，y)＝(H-1-y)×A(x，-1)+(y+1)×B(x，B)

R(W，y)＝((H-y-1)×AR+(y+1)×BR)/H

B(x，H)＝((W-x-1)×BL+(x+1)×BR)/W

AR is a motion vector corresponding to the image block located at the upper right corner of the to-be-processed image block and adjacent to the upper right corner point of the to-be-processed image block, BR is a motion vector corresponding to the image block located at the lower right corner of the to-be-processed image block and adjacent to the lower right corner point of the to-be-processed image block in the target reference frame, BL is a motion vector corresponding to the image block located at the lower left corner of the to-be-processed image block and adjacent to the lower left corner point of the to-be-processed image block, x is a ratio of a horizontal distance of the upper left corner point of the basic prediction block relative to the upper left corner point of the to-be-processed image block to a width of the basic prediction block, y is a ratio of a vertical distance of the upper left corner point of the basic prediction block relative to the upper left corner point of the to-be-processed image block to, w is the ratio of the width of the image block to be processed to the width of the basic prediction block, L (-1, y) is the motion vector corresponding to the second reference block, A (x, -1) is the motion vector corresponding to the first reference block, and P (x, y) is the motion vector corresponding to the basic prediction block.

In a seventh possible implementation manner of the second aspect, the determining module is specifically configured to: when the side lengths of two adjacent sides of the basic prediction block are not equal, determining that the side length of the shorter side of the basic prediction block is 4 or 8; when the side lengths of two adjacent sides of the basic prediction block are equal, determining that the side length of the basic prediction block is 4 or 8.

In an eighth possible implementation manner of the second aspect, the determining module is specifically configured to: and analyzing a first identifier from a code stream, wherein the first identifier is used for indicating the size of the basic prediction block, and the first identifier is located in a code stream segment corresponding to one of a sequence parameter set of a sequence where the image block to be processed is located, an image parameter set of an image where the image block to be processed is located, and a strip header of a strip where the image block to be processed is located.

In a ninth possible implementation manner of the second aspect, the determining module is specifically configured to: the size of the basic prediction block is determined according to the size of a planar mode prediction block in a previously reconstructed image, the planar mode prediction block being an image block to be processed for inter prediction according to any of the possible embodiments of the second aspect, and the previously reconstructed image being an image that is located in coding order before the image block to be processed.

In a tenth possible implementation manner of the second aspect, the determining module is specifically configured to: calculating an average of the products of width and height of all the planar mode prediction blocks in the previously reconstructed image; when the average value is smaller than a threshold value, the size of the basic prediction block is a first size; when the average is greater than or equal to the threshold, a size of the basic prediction block is a second size, wherein the first size is smaller than the second size.

In an eleventh possible implementation manner of the second aspect, the previously reconstructed image is a reconstructed image that is closest to the image in which the image block to be processed is located in the encoding order, among images having the same temporal layer identifier as the image in which the image block to be processed is located.

In a twelfth possible implementation manner of the second aspect, the previously reconstructed image is a reconstructed image that is closest to the image in which the image block to be processed is located in the encoding order.

In a thirteenth possible implementation manner of the second aspect, the previously reconstructed image is a plurality of images, and correspondingly, the determining module is specifically configured to: calculating an average of products of widths and heights of all of the planar-mode prediction blocks in the plurality of previously reconstructed images.

In a fourteenth possible embodiment of the second aspect, the threshold is a preset threshold.

In a fifteenth possible implementation manner of the second aspect, when POC of reference frames of an image in which the to-be-processed image block is located is smaller than POC of the image in which the to-be-processed image block is located, the threshold is a first threshold; when the POC of at least one reference frame of the picture in which the to-be-processed picture block is located is greater than the POC of the picture in which the to-be-processed picture block is located, the threshold is a second threshold, wherein the first threshold and the second threshold are different.

In a sixteenth possible implementation manner of the second aspect, the apparatus further includes a dividing module configured to: dividing the image block to be processed into a plurality of basic prediction blocks according to the size; and sequentially determining the position of each basic prediction block in the image block to be processed.

In a seventeenth possible implementation manner of the second aspect, the apparatus further includes a determining module, configured to: and determining that the first reference block and the second reference block are positioned in the image boundary where the image block to be processed is positioned.

In an eighteenth possible implementation manner of the second aspect, the determining module is further configured to: determining that the width of the image block to be processed is greater than or equal to 16 and the height of the image block to be processed is greater than or equal to 16; or determining that the width of the image block to be processed is greater than or equal to 16; or, determining that the height of the image block to be processed is greater than or equal to 16.

In a nineteenth possible implementation manner of the second aspect, the apparatus is configured to encode the image block to be processed, or decode the image block to be processed.

A third aspect of an embodiment of the present application provides an inter-frame prediction apparatus, including: a processor and a memory coupled to the processor; the processor is configured to perform the method of the first aspect.

A fourth aspect of embodiments of the present application provides a computer-readable storage medium having stored therein instructions, which, when run on a computer, cause the computer to perform the method of the first aspect described above.

A fifth aspect of embodiments of the present application provides a computer program product comprising instructions which, when run on a computer, cause the computer to perform the method of the first aspect described above.

A sixth aspect of embodiments of the present application provides a video image encoder, which includes the apparatus of the second aspect.

A seventh aspect of the embodiments of the present application provides a video image decoder, which includes the apparatus of the second aspect.

It should be understood that the second to seventh aspects of the present application are consistent with the technical solutions of the first aspect of the present application, and the beneficial effects obtained by the aspects and the corresponding implementable design manners are similar, and are not repeated.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments or background art of the present application, the drawings required to be used in the embodiments or background art of the present application will be described below.

Fig. 1 is an exemplary block diagram of a video encoding and decoding system according to an embodiment of the present application;

FIG. 2 is an exemplary block diagram of a video encoder in an embodiment of the present application;

FIG. 3 is an exemplary block diagram of a video decoder in an embodiment of the present application;

FIG. 4 is a schematic block diagram of an inter prediction module in an embodiment of the present application;

FIG. 5 is a schematic diagram illustrating a position relationship between a to-be-processed image block and a reference block thereof according to an embodiment of the present application;

FIG. 6 is a flowchart illustrating an exemplary inter-frame prediction method according to an embodiment of the present application;

FIG. 7 is a diagram illustrating a motion vector corresponding to a basic prediction block in a weighted calculation according to an embodiment of the present application;

FIG. 8 is another diagram illustrating a motion vector corresponding to a basic prediction block in a weighted calculation according to an embodiment of the present application;

FIG. 9 is a diagram illustrating a motion vector corresponding to a basic prediction block in a weighted calculation according to an embodiment of the present application;

FIG. 10 is an exemplary block diagram of an inter-frame prediction apparatus in an embodiment of the present application;

fig. 11 is an exemplary block diagram of a decoding device in an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present application.

FIG. 1 is a block diagram of a video coding system 1 of one example described in an embodiment of the present application. As used herein, the term "video coder" generally refers to both video encoders and video decoders. In this application, the term "video coding" or "coding" may generally refer to video encoding or video decoding. The video encoder 100 and the video decoder 200 of the video coding system 1 are configured to predict motion information, such as motion vectors, of a currently coded image block or a sub-block thereof according to various method examples described in any one of a plurality of new inter prediction modes proposed in the present application, so that the predicted motion vectors are maximally close to the motion vectors obtained by using a motion estimation method, thereby encoding without transmitting motion vector differences, thereby further improving the encoding and decoding performance.

As shown in fig. 1, video coding system 1 includes a source device 10 and a destination device 20. Source device 10 generates encoded video data. Accordingly, source device 10 may be referred to as a video encoding device. Destination device 20 may decode the encoded video data generated by source device 10. Destination device 20 may therefore be referred to as a video decoding device. Various implementations of source device 10, destination device 20, or both may include one or more processors and a memory coupled to the one or more processors. The memory can include, but is not limited to, RAM, ROM, EEPROM, flash memory, or any other medium that can be used to store desired program code in the form of instructions or data structures that can be accessed by a computer, as described herein.

Source device 10 and destination device 20 may comprise a variety of devices, including desktop computers, mobile computing devices, notebook (e.g., laptop) computers, tablet computers, set-top boxes, telephone handsets such as so-called "smart" phones, televisions, cameras, display devices, digital media players, video game consoles, in-vehicle computers, or the like.

Destination device 20 may receive encoded video data from source device 10 over link 30. Link 30 may comprise one or more media or devices capable of moving encoded video data from source device 10 to destination device 20. In one example, link 30 may comprise one or more communication media that enable source device 10 to transmit encoded video data directly to destination device 20 in real-time. In this example, source device 10 may modulate the encoded video data according to a communication standard, such as a wireless communication protocol, and may transmit the modulated video data to destination device 20. The one or more communication media may include wireless and/or wired communication media such as a Radio Frequency (RF) spectrum or one or more physical transmission lines. The one or more communication media may form part of a packet-based network, such as a local area network, a wide area network, or a global network (e.g., the internet). The one or more communication media may include a router, switch, base station, or other apparatus that facilitates communication from source device 10 to destination device 20.

In another example, encoded data may be output from output interface 140 to storage device 40. Similarly, encoded data may be accessed from storage device 40 through input interface 240. Storage device 40 may include any of a variety of distributed or locally accessed data storage media such as a hard drive, blu-ray discs, DVDs, CD-ROMs, flash memory, volatile or non-volatile memory, or any other suitable digital storage media for storing encoded video data.

In another example, storage device 40 may correspond to a file server or another intermediate storage device that may hold the encoded video generated by source device 10. Destination device 20 may access the stored video data from storage device 40 via streaming or download. The file server may be any type of server capable of storing encoded video data and transmitting the encoded video data to destination device 20. Example file servers include web servers (e.g., for a website), FTP servers, Network Attached Storage (NAS) devices, or local disk drives. Destination device 20 may access the encoded video data over any standard data connection, including an internet connection. This may include a wireless channel (e.g., a Wi-Fi connection), a wired connection (e.g., DSL, cable modem, etc.), or a combination of both suitable for accessing encoded video data stored on a file server. The transmission of the encoded video data from storage device 40 may be a streaming transmission, a download transmission, or a combination of both.

The motion vector prediction techniques of the present application may be applied to video codecs to support a variety of multimedia applications, such as over-the-air television broadcasts, cable television transmissions, satellite television transmissions, streaming video transmissions (e.g., via the internet), encoding for video data stored on a data storage medium, decoding of video data stored on a data storage medium, or other applications. In some examples, video coding system 1 may be used to support one-way or two-way video transmission to support applications such as video streaming, video playback, video broadcasting, and/or video telephony.

The video coding system 1 illustrated in fig. 1 is merely an example, and the techniques of this application may be applied to video coding settings (e.g., video encoding or video decoding) that do not necessarily include any data communication between an encoding device and a decoding device. In other examples, the data is retrieved from local storage, streamed over a network, and so forth. A video encoding device may encode and store data to a memory, and/or a video decoding device may retrieve and decode data from a memory. In many examples, the encoding and decoding are performed by devices that do not communicate with each other, but merely encode data to and/or retrieve data from memory and decode data.

In the example of fig. 1, source device 10 includes video source 120, video encoder 100, and output interface 140. In some examples, output interface 140 may include a regulator/demodulator (modem) and/or a transmitter. Video source 120 may comprise a video capture device (e.g., a video camera), a video archive containing previously captured video data, a video feed interface to receive video data from a video content provider, and/or a computer graphics system for generating video data, or a combination of such sources of video data.

Video encoder 100 may encode video data from video source 120. In some examples, source device 10 transmits the encoded video data directly to destination device 20 via output interface 140. In other examples, the encoded video data may also be stored onto storage device 40 for later access by destination device 20 for decoding and/or playback.

In the example of fig. 1, destination device 20 includes input interface 240, video decoder 200, and display device 220. In some examples, input interface 240 includes a receiver and/or a modem. Input interface 240 may receive encoded video data via link 30 and/or from storage device 40. Display device 220 may be integrated with destination device 20 or may be external to destination device 20. In general, display device 220 displays decoded video data. The display device 220 may include a variety of display devices, such as a Liquid Crystal Display (LCD), a plasma display, an Organic Light Emitting Diode (OLED) display, or other types of display devices.

Although not shown in fig. 1, in some aspects, video encoder 100 and video decoder 200 may each be integrated with an audio encoder and decoder, and may include appropriate multiplexer-demultiplexer units or other hardware and software to handle encoding of both audio and video in a common data stream or separate data streams. In some examples, the MUX-DEMUX unit may conform to the ITU h.223 multiplexer protocol, or other protocols such as the User Datagram Protocol (UDP), if applicable.

Video encoder 100 and video decoder 200 may each be implemented as any of a variety of circuits such as: one or more microprocessors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs), discrete logic, hardware, or any combinations thereof. If the present application is implemented in part in software, a device may store instructions for the software in a suitable non-volatile computer-readable storage medium and may execute the instructions in hardware using one or more processors to implement the techniques of the present application. Any of the foregoing, including hardware, software, a combination of hardware and software, etc., may be considered one or more processors. Each of video encoder 100 and video decoder 200 may be included in one or more encoders or decoders, either of which may be integrated as part of a combined encoder/decoder (codec) in a respective device.

This application may generally refer to video encoder 100 as "signaling" or "transmitting" certain information to another device, such as video decoder 200. The terms "signaling" or "transmitting" may generally refer to the communication of syntax elements and/or other data used to decode compressed video data. This transfer may occur in real time or near real time. Alternatively, such communication may occur after a period of time, such as may occur when, at the time of encoding, syntax elements are stored in the encoded codestream to a computer-readable storage medium, which the decoding device may then retrieve at any time after the syntax elements are stored to such medium.

The H.265(HEVC) standard was developed by JCT-VC. HEVC standardization is based on an evolution model of a video decoding device called the HEVC test model (HM). The latest standard document for H.265 is available from http:// www.itu.int/REC/T-REC-H.265, and the latest version of the standard document is H.265(12/16), which is incorporated herein by reference in its entirety. The HM assumes that the video decoding device has several additional capabilities with respect to existing algorithms of ITU-T H.264/AVC. For example, h.264 provides 9 intra-prediction encoding modes, while the HM may provide up to 35 intra-prediction encoding modes.

Jfet is dedicated to developing the h.266 standard. The process of h.266 normalization is based on an evolving model of the video decoding apparatus called the h.266 test model. The algorithm description of H.266 is available from http:// phenix. int-evry. fr/JVET, with the latest algorithm description contained in JFET-F1001-v 2, which is incorporated herein by reference in its entirety. Also, reference software for JEM test models is available from https:// jvet. hhi. fraunhofer. de/svn/svn _ HMJEMSOFORWare/incorporated herein by reference in its entirety.

In general, the working model description for HM may divide a video frame or image into a sequence of treeblocks or Largest Coding Units (LCUs), also referred to as CTUs, that include both luma and chroma samples. Treeblocks have a similar purpose as macroblocks of the h.264 standard. A slice includes a number of consecutive treeblocks in decoding order. A video frame or image may be partitioned into one or more slices. Each treeblock may be split into coding units according to a quadtree. For example, a treeblock that is the root node of a quadtree may be split into four child nodes, and each child node may in turn be a parent node and split into four other child nodes. The final non-fragmentable child node, which is a leaf node of the quadtree, comprises a decoding node, e.g., a decoded video block. Syntax data associated with the decoded codestream may define a maximum number of times the treeblock may be split, and may also define a minimum size of the decoding node.

An encoding unit includes a decoding node and a prediction block (PU) and a Transform Unit (TU) associated with the decoding node. The size of a CU corresponds to the size of the decoding node and must be square in shape. The size of a CU may range from 8x8 pixels up to a maximum treeblock size of 64 x 64 pixels or more. Each CU may contain one or more PUs and one or more TUs. For example, syntax data associated with a CU may describe a situation in which the CU is partitioned into one or more PUs. The partition mode may be different between cases where a CU is skipped or is directly mode encoded, intra prediction mode encoded, or inter prediction mode encoded. The PU may be partitioned into shapes other than square. For example, syntax data associated with a CU may also describe a situation in which the CU is partitioned into one or more TUs according to a quadtree. The TU may be square or non-square in shape.

The HEVC standard allows for transform according to TUs, which may be different for different CUs. A TU is typically sized based on the size of a PU within a given CU defined for a partitioned LCU, although this may not always be the case. The size of a TU is typically the same as or smaller than a PU. In some possible implementations, the residual samples corresponding to a CU may be subdivided into smaller units using a quadtree structure called a "residual qualtree" (RQT). The leaf nodes of the RQT may be referred to as TUs. The pixel difference values associated with the TUs may be transformed to produce transform coefficients, which may be quantized.

In general, a PU includes data related to a prediction process. For example, when a PU is intra-mode encoded, the PU may include data describing an intra-prediction mode of the PU. As another possible implementation, when the PU is inter-mode encoded, the PU may include data defining a motion vector for the PU. For example, the data defining the motion vector for the PU may describe a horizontal component of the motion vector, a vertical component of the motion vector, a resolution of the motion vector (e.g., quarter-pixel precision or eighth-pixel precision), a reference picture to which the motion vector points, and/or a reference picture list of the motion vector (e.g., list 0, list 1, or list C).

In general, TUs use a transform and quantization process. A given CU with one or more PUs may also contain one or more TUs. After prediction, video encoder 100 may calculate residual values corresponding to the PU. The residual values comprise pixel difference values that may be transformed into transform coefficients, quantized, and scanned using TUs to produce serialized transform coefficients for entropy decoding. The term "video block" is generally used herein to refer to a decoding node of a CU. In some particular applications, the present application may also use the term "video block" to refer to a treeblock that includes a decoding node as well as PUs and TUs, e.g., an LCU or CU.

A video sequence typically comprises a series of video frames or images. A group of pictures (GOP) illustratively comprises a series of one or more video pictures. The GOP may include syntax data in header information of the GOP, header information of one or more of the pictures, or elsewhere, the syntax data describing the number of pictures included in the GOP. Each slice of a picture may include slice syntax data that describes the coding mode of the respective picture. Video encoder 100 typically operates on video blocks within individual video stripes in order to encode the video data. The video block may correspond to a decoding node within the CU. Video blocks may have fixed or varying sizes and may differ in size according to a specified decoding standard.

As a possible implementation, the HM supports prediction of various PU sizes. Assuming that the size of a particular CU is 2N × 2N, the HM supports intra prediction of PU sizes of 2N × 2N or N × N, and inter prediction of symmetric PU sizes of 2N × 2N, 2N × N, N × 2N, or N × N. The HM also supports asymmetric partitioning for inter prediction for PU sizes of 2 nxnu, 2 nxnd, nlx 2N and nR x 2N. In asymmetric partitioning, one direction of a CU is not partitioned, while the other direction is partitioned into 25% and 75%. The portion of the CU corresponding to the 25% section is indicated by an indication of "n" followed by "Up", "Down", "Left", or "Right". Thus, for example, "2N × nU" refers to a horizontally split 2N × 2NCU, with 2N × 0.5NPU on top and 2N × 1.5NPU on the bottom.

In this application, "N × N" and "N by N" are used interchangeably to refer to the pixel size of a video block in both the vertical and horizontal dimensions, e.g., 16 × 16 pixels or 16 by 16 pixels. In general, a 16 × 16 block will have 16 pixels in the vertical direction (y ═ 16) and 16 pixels in the horizontal direction (x ═ 16). Likewise, an nxn block generally has N pixels in the vertical direction and N pixels in the horizontal direction, where N represents a non-negative integer value. The pixels in a block may be arranged in rows and columns. Furthermore, the block does not necessarily need to have the same number of pixels in the horizontal direction as in the vertical direction. For example, a block may comprise N × M pixels, where M is not necessarily equal to N.

After using intra-predictive or inter-predictive decoding of PUs of the CU, video encoder 100 may calculate residual data for TUs of the CU. A PU may comprise pixel data in a spatial domain (also referred to as a pixel domain), and a TU may comprise coefficients in a transform domain after applying a transform (e.g., a Discrete Cosine Transform (DCT), an integer transform, a wavelet transform, or a conceptually similar transform) to residual video data. The residual data may correspond to pixel differences between pixels of the unencoded image and the predicted values corresponding to the PUs. Video encoder 100 may form TUs that include residual data of a CU, and then transform the TUs to generate transform coefficients for the CU.

After any transform to generate transform coefficients, video encoder 100 may perform quantization of the transform coefficients. Quantization exemplarily refers to a process of quantizing coefficients to possibly reduce the amount of data used to represent the coefficients, thereby providing further compression. The quantization process may reduce the bit depth associated with some or all of the coefficients. For example, an n-bit value may be reduced to an m-bit value during quantization, where n is greater than m.

The JEM model further improves the coding structure of video images, and in particular, a block coding structure called "quadtree combined binary tree" (QTBT) is introduced. The QTBT structure abandons the concepts of CU, PU, TU and the like in HEVC, supports more flexible CU partition shapes, and one CU can be square or rectangular. One CTU first performs a quadtree division, and leaf nodes of the quadtree are further subjected to a binary tree division. Meanwhile, there are two partitioning modes in binary tree partitioning, symmetric horizontal partitioning and symmetric vertical partitioning. The leaf nodes of the binary tree are called CUs, and none of the JEM CUs can be further divided during prediction and transformation, i.e. all of the JEM CUs, PUs, TUs have the same block size. In the JEM at the present stage, the maximum size of the CTU is 256 × 256 luminance pixels.

In some possible implementations, video encoder 100 may utilize a predefined scan order to scan the quantized transform coefficients to generate a serialized vector that may be entropy encoded. In other possible implementations, video encoder 100 may perform adaptive scanning. After scanning the quantized transform coefficients to form a one-dimensional vector, video encoder 100 may entropy decode the one-dimensional vector according to context adaptive variable length decoding (CAVLC), context adaptive binary arithmetic decoding (CABAC), syntax-based context adaptive binary arithmetic decoding (SBAC), Probability Interval Partition Entropy (PIPE) decoding, or other entropy decoding methods. Video encoder 100 may also entropy encode syntax elements associated with the encoded video data for use by video decoder 200 in decoding the video data.

To perform CABAC, video encoder 100 may assign a context within the context model to a symbol to be transmitted. The context may relate to whether adjacent values of the symbol are non-zero. To perform CAVLC, video encoder 100 may select a variable length code for a symbol to be transmitted. Codewords in variable length decoding (VLC) may be constructed such that relatively shorter codes correspond to more likely symbols, while longer codes correspond to less likely symbols. In this way, the use of VLC may achieve a code rate saving with respect to using equal length codewords for each symbol to be transmitted. The probability in CABAC may be determined based on the context assigned to the symbol.

In embodiments of the present application, a video encoder may perform inter prediction to reduce temporal redundancy between pictures. As described previously, a CU may have one or more prediction units, PUs, according to the specifications of different video compression codec standards. In other words, multiple PUs may belong to a CU, or the PUs and the CU are the same size. When the CU and PU sizes are the same, the partition mode of the CU is not partitioned, or is partitioned into one PU, and is expressed by using the PU uniformly. When the video encoder performs inter prediction, the video encoder may signal the video decoder with motion information for the PU. For example, the motion information of the PU may include: reference picture index, motion vector and prediction direction identification. The motion vector may indicate a displacement between an image block (also referred to as a video block, a block of pixels, a set of pixels, etc.) of the PU and a reference block of the PU. The reference block of the PU may be a portion of a reference picture that is similar to the image block of the PU. The reference block may be located in a reference picture indicated by the reference picture index and the prediction direction identification.

To reduce the number of coding bits needed to represent the Motion information of the PU, the video encoder may generate a list of candidate prediction Motion Vectors (MVs) for each of the PUs according to a merge prediction mode or advanced Motion Vector prediction mode process. Each candidate predictive motion vector in the list of candidate predictive motion vectors for the PU may indicate motion information. The motion information indicated by some candidate predicted motion vectors in the candidate predicted motion vector list may be based on motion information of other PUs. The present application may refer to a candidate predicted motion vector as an "original" candidate predicted motion vector if the candidate predicted motion vector indicates motion information that specifies one of a spatial candidate predicted motion vector position or a temporal candidate predicted motion vector position. For example, for merge mode, also referred to herein as merge prediction mode, there may be five original spatial candidate predicted motion vector positions and one original temporal candidate predicted motion vector position. In some examples, the video encoder may generate additional candidate predicted motion vectors by combining partial motion vectors from different original candidate predicted motion vectors, modifying the original candidate predicted motion vectors, or inserting only zero motion vectors as candidate predicted motion vectors. These additional candidate predicted motion vectors are not considered as original candidate predicted motion vectors and may be referred to as artificially generated candidate predicted motion vectors in this application.

The techniques of this application generally relate to techniques for generating a list of candidate predictive motion vectors at a video encoder and techniques for generating the same list of candidate predictive motion vectors at a video decoder. The video encoder and the video decoder may generate the same candidate prediction motion vector list by implementing the same techniques for constructing the candidate prediction motion vector list. For example, both the video encoder and the video decoder may construct a list with the same number of candidate predicted motion vectors (e.g., five candidate predicted motion vectors). Video encoders and decoders may first consider spatial candidate predictive motion vectors (e.g., neighboring blocks in the same picture), then consider temporal candidate predictive motion vectors (e.g., candidate predictive motion vectors in different pictures), and finally may consider artificially generated candidate predictive motion vectors until a desired number of candidate predictive motion vectors are added to the list. According to the techniques of this application, a pruning operation may be utilized during candidate predicted motion vector list construction for certain types of candidate predicted motion vectors in order to remove duplicates from the candidate predicted motion vector list, while for other types of candidate predicted motion vectors, pruning may not be used in order to reduce decoder complexity. For example, for a set of spatial candidate predicted motion vectors and for temporal candidate predicted motion vectors, a pruning operation may be performed to exclude candidate predicted motion vectors with duplicate motion information from the list of candidate predicted motion vectors. However, when the artificially generated candidate predicted motion vector is added to the list of candidate predicted motion vectors, the artificially generated candidate predicted motion vector may be added without performing a clipping operation on the artificially generated candidate predicted motion vector.

After generating the candidate predictive motion vector list for the PU of the CU, the video encoder may select a candidate predictive motion vector from the candidate predictive motion vector list and output a candidate predictive motion vector index in the codestream. The selected candidate predictive motion vector may be the candidate predictive motion vector having a motion vector that yields the predictor that most closely matches the target PU being decoded. The candidate predicted motion vector index may indicate a position in the candidate predicted motion vector list where the candidate predicted motion vector is selected. The video encoder may also generate a predictive image block for the PU based on the reference block indicated by the motion information of the PU. The motion information for the PU may be determined based on the motion information indicated by the selected candidate predictive motion vector. For example, in merge mode, the motion information of the PU may be the same as the motion information indicated by the selected candidate prediction motion vector. In the AMVP mode, the motion information of the PU may be determined based on the motion vector difference of the PU and the motion information indicated by the selected candidate prediction motion vector. The video encoder may generate one or more residual tiles for the CU based on the predictive tiles of the PUs of the CU and the original tiles for the CU. The video encoder may then encode the one or more residual image blocks and output the one or more residual image blocks in the code stream.

The codestream may include data identifying a selected candidate predictive motion vector in a candidate predictive motion vector list for the PU. The video decoder may determine the motion information for the PU based on the motion information indicated by the selected candidate predictive motion vector in the candidate predictive motion vector list for the PU. The video decoder may identify one or more reference blocks for the PU based on the motion information of the PU. After identifying the one or more reference blocks of the PU, the video decoder may generate, based on the one or more reference blocks of the PU, a predictive picture block for the PU. The video decoder may reconstruct the tiles for the CU based on the predictive tiles for the PUs of the CU and the one or more residual tiles for the CU.

For ease of explanation, this application may describe locations or image blocks as having various spatial relationships with CUs or PUs. This description may be interpreted to mean that the locations or tiles have various spatial relationships with the tiles associated with the CU or PU. Furthermore, the present application may refer to a PU that is currently being decoded by the video decoder as a current PU, also referred to as a current pending image block. This application may refer to a CU that a video decoder is currently decoding as the current CU. The present application may refer to the picture that the video decoder is currently decoding as the current picture. It should be understood that the present application is applicable to the case where the PU and the CU have the same size, or the PU is the CU, and the PU is used uniformly for representation.

As briefly described above, video encoder 100 may use inter prediction to generate predictive picture blocks and motion information for PUs of a CU. In many instances, the motion information for a given PU may be the same as or similar to the motion information of one or more nearby PUs (i.e., PUs whose tiles are spatially or temporally nearby to the tiles of the given PU). Because nearby PUs often have similar motion information, video encoder 100 may encode the motion information of a given PU with reference to the motion information of nearby PUs. Encoding motion information for a given PU with reference to motion information for nearby PUs may reduce the number of encoding bits required in the codestream to indicate the motion information for the given PU.

Video encoder 100 may encode the motion information of a given PU with reference to the motion information of nearby PUs in various ways. For example, video encoder 100 may indicate that the motion information of a given PU is the same as the motion information of nearby PUs. This application may use merge mode to refer to indicating that the motion information of a given PU is the same as or derivable from the motion information of nearby PUs. In another possible implementation, video encoder 100 may calculate a Motion Vector Difference (MVD) for a given PU. The MVD indicates the difference between the motion vector of a given PU and the motion vectors of nearby PUs. The video encoder 100 may include the motion vector of the MVD instead of the given PU in the motion information of the given PU. Fewer coding bits are required to represent the MVD in the codestream than to represent the motion vector for a given PU. The present application may use advanced motion vector prediction mode to signal motion information of a given PU to a decoding end by using an MVD and an index value identifying a candidate motion vector.

To signal motion information for a given PU at a decoding end using merge mode or AMVP mode, video encoder 100 may generate a list of candidate predictive motion vectors for the given PU. The candidate prediction motion vector list may comprise one or more candidate prediction motion vectors. Each of the candidate predictive motion vectors in the candidate predictive motion vector list for a given PU may specify motion information. The motion information indicated by each candidate predicted motion vector may include a motion vector, a reference picture index, and a prediction direction identification. The candidate predicted motion vectors in the candidate predicted motion vector list may comprise "original" candidate predicted motion vectors, where each indicates motion information for one of the specified candidate predicted motion vector positions within a PU that is different from the given PU.

After generating the list of candidate predictive motion vectors for the PU, video encoder 100 may select one of the candidate predictive motion vectors from the list of candidate predictive motion vectors for the PU. For example, the video encoder may compare each candidate predictive motion vector to the PU being decoded and may select a candidate predictive motion vector with the desired rate-distortion cost. Video encoder 100 may output a candidate prediction motion vector index for the PU. The candidate predicted motion vector index may identify a position of the selected candidate predicted motion vector in the candidate predicted motion vector list.

Furthermore, video encoder 100 may generate the predictive picture block for the PU based on the reference block indicated by the motion information of the PU. The motion information for the PU may be determined based on motion information indicated by a selected candidate predictive motion vector in a list of candidate predictive motion vectors for the PU. For example, in merge mode, the motion information of the PU may be the same as the motion information indicated by the selected candidate prediction motion vector. In AMVP mode, the motion information for the PU may be determined based on the motion vector difference for the PU and the motion information indicated by the selected candidate prediction motion vector. Video encoder 100 may process the predictive image blocks for the PU as described previously.

When video decoder 200 receives the codestream, video decoder 200 may generate a list of candidate prediction motion vectors for each of the PUs of the CU. The list of candidate predictive motion vectors generated by video decoder 200 for the PU may be the same as the list of candidate predictive motion vectors generated by video encoder 100 for the PU. The syntax element parsed from the codestream may indicate a location in the candidate predicted motion vector list for the PU where the candidate predicted motion vector is selected. After generating the list of candidate predictive motion vectors for the PU, video decoder 200 may generate a predictive image block for the PU based on one or more reference blocks indicated by the motion information of the PU. Video decoder 200 may determine the motion information for the PU based on the motion information indicated by the selected candidate predictive motion vector in the list of candidate predictive motion vectors for the PU. Video decoder 200 may reconstruct an image block for a CU based on predictive image blocks for the PU and residual image blocks for the CU.

It should be understood that, in a possible implementation manner, at the decoding end, the construction of the candidate predicted motion vector list and the parsing of the selected candidate predicted motion vector from the code stream in the candidate predicted motion vector list are independent of each other, and may be performed in any order or in parallel.

In another possible implementation manner, at a decoding end, positions of candidate predicted motion vectors in a candidate predicted motion vector list are firstly analyzed and selected from a code stream, and the candidate predicted motion vector list is constructed according to the analyzed positions. For example, when the selected candidate predicted motion vector obtained by parsing the code stream is the candidate predicted motion vector with the index of 3 in the candidate predicted motion vector list, the candidate predicted motion vector with the index of 3 can be determined only by constructing the candidate predicted motion vector list from the index of 0 to the index of 3, so that the technical effects of reducing complexity and improving decoding efficiency can be achieved.

Fig. 2 is a block diagram of a video encoder 100 of one example described in an embodiment of the present application. The video encoder 100 is used to output video to the post-processing entity 41. Post-processing entity 41 represents an example of a video entity, such as a media-aware network element (MANE) or a splicing/editing device, that may process the encoded video data from video encoder 100. In some cases, post-processing entity 41 may be an instance of a network entity. In some video encoding systems, the post-processing entity 41 and the video encoder 100 may be parts of separate devices, while in other cases, the functionality described with respect to the post-processing entity 41 may be performed by the same device that includes the video encoder 100. In some example, post-processing entity 41 is an example of storage 40 of FIG. 1.

In the example of fig. 2, the video encoder 100 includes a prediction processing unit 108, a filter unit 106, a Decoded Picture Buffer (DPB)107, a summer 112, a transformer 101, a quantizer 102, and an entropy encoder 103. The prediction processing unit 108 includes an inter predictor 110 and an intra predictor 109. For image block reconstruction, the video encoder 100 further includes an inverse quantizer 104, an inverse transformer 105, and a summer 111. Filter unit 106 is intended to represent one or more loop filters, such as deblocking filters, Adaptive Loop Filters (ALF), and Sample Adaptive Offset (SAO) filters. Although filter unit 106 is shown in fig. 2 as an in-loop filter, in other implementations, filter unit 106 may be implemented as a post-loop filter. In one example, the video encoder 100 may further include a video data memory, a partition unit (not shown).

The video data memory may store video data to be encoded by components of video encoder 100. The video data stored in the video data memory may be obtained from video source 120. DPB 107 may be a reference picture memory that stores reference video data used to encode video data by video encoder 100 in intra, inter coding modes. The video data memory and DPB 107 may be formed from any of a variety of memory devices, such as Dynamic Random Access Memory (DRAM) including synchronous DRAM (sdram), magnetoresistive ram (mram), resistive ram (rram), or other types of memory devices. The video data memory and DPB 107 may be provided by the same memory device or separate memory devices. In various examples, the video data memory may be on-chip with other components of video encoder 100, or off-chip relative to those components.

As shown in fig. 2, video encoder 100 receives video data and stores the video data in a video data memory. The partitioning unit partitions the video data into image blocks and these image blocks may be further partitioned into smaller blocks, e.g. image block partitions based on a quadtree structure or a binary tree structure. This segmentation may also include segmentation into stripes (slices), slices (tiles), or other larger units. Video encoder 100 generally illustrates components that encode image blocks within a video slice to be encoded. The slice may be divided into a plurality of tiles (and possibly into a set of tiles called a slice). Prediction processing unit 108 may select one of a plurality of possible coding modes for the current image block, such as one of a plurality of intra coding modes or one of a plurality of inter coding modes. Prediction processing unit 108 may provide the resulting intra, inter coded block to summer 112 to generate a residual block and to summer 111 to reconstruct the encoded block used as the reference picture.

An intra predictor 109 within prediction processing unit 108 may perform intra-predictive encoding of a current image block relative to one or more neighboring blocks in the same frame or slice as the current block to be encoded to remove spatial redundancy. Inter predictor 110 within prediction processing unit 108 may perform inter-predictive encoding of the current picture block relative to one or more prediction blocks in one or more reference pictures to remove temporal redundancy.

In particular, the inter predictor 110 may be used to determine an inter prediction mode for encoding a current image block. For example, the inter predictor 110 may use rate-distortion analysis to calculate rate-distortion values for various inter prediction modes in the set of candidate inter prediction modes and select the inter prediction mode having the best rate-distortion characteristics therefrom. Rate distortion analysis typically determines the amount of distortion (or error) between an encoded block and an original, unencoded block that was encoded to produce the encoded block, as well as the bit rate (that is, the number of bits) used to produce the encoded block. For example, the inter predictor 110 may determine an inter prediction mode with the smallest rate-distortion cost for encoding the current image block in the candidate inter prediction mode set as the inter prediction mode for inter predicting the current image block.

The inter predictor 110 is configured to predict motion information (e.g., motion vectors) of one or more sub-blocks in the current image block based on the determined inter prediction mode, and to obtain or generate a prediction block of the current image block using the motion information (e.g., motion vectors) of the one or more sub-blocks in the current image block. The inter predictor 110 may locate the prediction block to which the motion vector points in one of the reference picture lists. The inter predictor 110 may also generate syntax elements associated with the image block and the video slice for use by the video decoder 200 in decoding the image block of the video slice. Or, in an example, the inter predictor 110 performs a motion compensation process using the motion information of each sub-block to generate a prediction block of each sub-block, so as to obtain a prediction block of the current image block; it should be understood that the inter predictor 110 herein performs motion estimation and motion compensation processes.

Specifically, after selecting the inter prediction mode for the current image block, the inter predictor 110 may provide information indicating the selected inter prediction mode for the current image block to the entropy encoder 103, so that the entropy encoder 103 encodes the information indicating the selected inter prediction mode.

The intra predictor 109 may perform intra prediction on the current image block. In particular, the intra predictor 109 may determine an intra prediction mode used to encode the current block. For example, the intra predictor 109 may calculate rate-distortion values for various intra prediction modes under test using rate-distortion analysis and select an intra prediction mode having the best rate-distortion characteristics from among the modes under test. In any case, after selecting the intra prediction mode for the image block, the intra predictor 109 may provide information indicating the selected intra prediction mode for the current image block to the entropy encoder 103 so that the entropy encoder 103 encodes the information indicating the selected intra prediction mode.

After prediction processing unit 108 generates a prediction block for the current image block via inter-prediction, intra-prediction, video encoder 100 forms a residual image block by subtracting the prediction block from the current image block to be encoded. Summer 112 represents one or more components that perform this subtraction operation. The residual video data in the residual block may be included in one or more TUs and applied to transformer 101. The transformer 101 transforms the residual video data into residual transform coefficients using a transform such as a Discrete Cosine Transform (DCT) or a conceptually similar transform. Transformer 101 may convert residual video data from a pixel value domain to a transform domain, e.g., the frequency domain.

The transformer 101 may send the resulting transform coefficients to the quantizer 102. Quantizer 102 quantizes the transform coefficients to further reduce the bit rate. In some examples, quantizer 102 may then perform a scan of a matrix that includes quantized transform coefficients. Alternatively, the entropy encoder 103 may perform the scanning.

After quantization, the entropy encoder 103 entropy encodes the quantized transform coefficients. For example, the entropy encoder 103 may perform Context Adaptive Variable Length Coding (CAVLC), Context Adaptive Binary Arithmetic Coding (CABAC), syntax-based context adaptive binary arithmetic coding (SBAC), Probability Interval Partition Entropy (PIPE) coding, or another entropy encoding method or technique. After entropy encoding by the entropy encoder 103, the encoded codestream may be transmitted to the video decoder 200, or archived for later transmission or retrieved by the video decoder 200. The entropy encoder 103 may also entropy encode syntax elements of the current image block to be encoded.

Inverse quantizer 104 and inverse transformer 105 apply inverse quantization and inverse transform, respectively, to reconstruct the residual block in the pixel domain, e.g., for later use as a reference block for a reference image. The summer 111 adds the reconstructed residual block to the prediction block produced by the inter predictor 110 or the intra predictor 109 to produce a reconstructed image block. The filter unit 106 may be adapted to the reconstructed image blocks to reduce distortions, such as block artifacts. This reconstructed image block is then stored as a reference block in the decoded image buffer 107, which may be used by the inter predictor 110 as a reference block for inter-predicting blocks in subsequent video frames or images.

It should be understood that other structural variations of the video encoder 100 may be used to encode the video stream. For example, for certain image blocks or image frames, the video encoder 100 may quantize the residual signal directly without processing by the transformer 101 and correspondingly without processing by the inverse transformer 105; alternatively, for some image blocks or image frames, the video encoder 100 does not generate residual data and accordingly does not need to be processed by the transformer 101, the quantizer 102, the inverse quantizer 104, and the inverse transformer 105; alternatively, video encoder 100 may store the reconstructed image block directly as a reference block without processing by filter unit 106; alternatively, the quantizer 102 and the dequantizer 104 in the video encoder 100 may be combined together.

Fig. 3 is a block diagram of a video decoder 200 of one example described in an embodiment of the present application. In the example of fig. 3, the video decoder 200 includes an entropy decoder 203, a prediction processing unit 208, an inverse quantizer 204, an inverse transformer 205, a summer 211, a filter unit 206, and a decoded image buffer 207. The prediction processing unit 208 may include an inter predictor 210 and an intra predictor 209. In some examples, video decoder 200 may perform a decoding process that is substantially reciprocal to the encoding process described with respect to video encoder 100 from fig. 2.

In the decoding process, video decoder 200 receives an encoded video bitstream representing image blocks and associated syntax elements of an encoded video slice from video encoder 100. Video decoder 200 may receive video data from network entity 42 and, optionally, may store the video data in a video data store (not shown). The video data memory may store video data, such as an encoded video bitstream, to be decoded by components of video decoder 200. The video data stored in the video data memory may be obtained, for example, from storage device 40, from a local video source such as a camera, via wired or wireless network communication of video data, or by accessing a physical data storage medium. The video data memory may serve as a decoded picture buffer (CPB) for storing encoded video data from the encoded video bitstream. Therefore, although the video data memory is not illustrated in fig. 3, the video data memory and the DPB 207 may be the same memory or may be separately provided memories. Video data memory and DPB 207 may be formed from any of a variety of memory devices, such as: dynamic Random Access Memory (DRAM) including synchronous DRAM (sdram), magnetoresistive ram (mram), resistive ram (rram), or other types of memory devices. In various examples, the video data memory may be integrated on-chip with other components of video decoder 200, or disposed off-chip with respect to those components.

Network entity 42 may be, for example, a server, a MANE, a video editor/splicer, or other such device for implementing one or more of the techniques described above. Network entity 42 may or may not include a video encoder, such as video encoder 100. Network entity 42 may implement portions of the techniques described in this application before network entity 42 sends the encoded video bitstream to video decoder 200. In some video decoding systems, network entity 42 and video decoder 200 may be part of separate devices, while in other cases, the functionality described with respect to network entity 42 may be performed by the same device that includes video decoder 200. In some cases, network entity 42 may be an example of storage 40 of fig. 1.

The entropy decoder 203 of the video decoder 200 entropy decodes the code stream to generate quantized coefficients and some syntax elements. The entropy decoder 203 forwards the syntax elements to the prediction processing unit 208. Video decoder 200 may receive syntax elements at the video slice level and/or the picture block level.

When a video slice is decoded as an intra-decoded (I) slice, intra predictor 209 of prediction processing unit 208 may generate a prediction block for an image block of the current video slice based on the signaled intra prediction mode and data from previously decoded blocks of the current frame or picture. When a video slice is decoded as an inter-decoded (i.e., B or P) slice, the inter predictor 210 of the prediction processing unit 208 may determine an inter prediction mode for decoding a current image block of the current video slice based on syntax elements received from the entropy decoder 203, and decode the current image block (e.g., perform inter prediction) based on the determined inter prediction mode. Specifically, the inter predictor 210 may determine whether a current image block of the current video slice is predicted using a new inter prediction mode, predict motion information of the current image block or a sub-block of the current image block of the current video slice based on the new inter prediction mode (e.g., a new inter prediction mode designated by a syntax element or a default new inter prediction mode) if the syntax element indicates that the current image block is predicted using the new inter prediction mode, and thereby obtain or generate a prediction block of the current image block or the sub-block of the current image block using the motion information of the predicted current image block or the sub-block of the current image block through a motion compensation process. The motion information herein may include reference picture information and motion vectors, wherein the reference picture information may include, but is not limited to, uni/bi-directional prediction information, reference picture list numbers and reference picture indexes corresponding to the reference picture lists. For inter-prediction, a prediction block may be generated from one of the reference pictures within one of the reference picture lists. Video decoder 200 may construct reference picture lists, i.e., list 0 and list 1, based on the reference pictures stored in DPB 207. The reference frame index for the current picture may be included in one or more of reference frame list 0 and list 1. In some examples, it may be the particular syntax element that video encoder 100 signals indicating whether a new inter prediction mode is employed to decode the particular block, or it may be the particular syntax element that signals indicating whether a new inter prediction mode is employed and which new inter prediction mode is specifically employed to decode the particular block. It should be understood that the inter predictor 210 herein performs a motion compensation process.

The inverse quantizer 204 inversely quantizes, i.e., dequantizes, the quantized transform coefficients provided in the codestream and decoded by the entropy decoder 203. The inverse quantization process may include: the quantization parameter calculated by the video encoder 100 for each image block in the video slice is used to determine the degree of quantization that should be applied and likewise the degree of inverse quantization that should be applied. Inverse transformer 205 applies an inverse transform, such as an inverse DCT, an inverse integer transform, or a conceptually similar inverse transform process, to the transform coefficients in order to generate a block of residues in the pixel domain.

After the inter predictor 210 generates a prediction block for the current image block or a sub-block of the current image block, the video decoder 200 obtains a reconstructed block, i.e., a decoded image block, by summing the residual block from the inverse transformer 205 with the corresponding prediction block generated by the inter predictor 210. Summer 211 represents the component that performs this summation operation. A loop filter (in or after the decoding loop) may also be used to smooth pixel transitions or otherwise improve video quality, if desired. Filter unit 206 may represent one or more loop filters, such as deblocking filters, Adaptive Loop Filters (ALF), and Sample Adaptive Offset (SAO) filters. Although the filter unit 206 is shown in fig. 3 as an in-loop filter, in other implementations, the filter unit 206 may be implemented as a post-loop filter. In one example, the filter unit 206 is adapted to reconstruct the block to reduce the block distortion, and the result is output as a decoded video stream. Also, decoded image blocks in a given frame or picture may also be stored in a decoded picture buffer 207, the decoded picture buffer 207 storing reference pictures for subsequent motion compensation. Decoded image buffer 207 may be part of a memory, which may also store decoded video for later presentation on a display device (e.g., display device 220 of fig. 1), or may be separate from such memory.

It should be understood that other structural variations of the video decoder 200 may be used to decode the encoded video stream. For example, the video decoder 200 may generate an output video stream without processing by the filter unit 206; alternatively, for some image blocks or image frames, the entropy decoder 203 of the video decoder 200 does not decode quantized coefficients and accordingly does not need to be processed by the inverse quantizer 204 and the inverse transformer 205.

As noted previously, the techniques of this application illustratively relate to inter-frame decoding. It should be understood that the techniques of this application may be performed by any of the video decoders described in this application, including, for example, video encoder 100 and video decoder 200 as shown and described with respect to fig. 1-3. That is, in one possible implementation, the inter predictor 110 described with respect to fig. 2 may perform certain techniques described below when performing inter prediction during encoding of a block of video data. In another possible implementation, the inter predictor 210 described with respect to fig. 3 may perform certain techniques described below when performing inter prediction during decoding of a block of video data. Thus, reference to a generic "video encoder" or "video decoder" may include video encoder 100, video decoder 200, or another video encoding or encoding unit.

Fig. 4 is a schematic block diagram of an inter prediction module in an embodiment of the present application. The inter prediction module 121, for example, may include a motion estimation unit 42 and a motion compensation unit 44. The relationship between PU and CU varies among different video compression codec standards. Inter prediction module 121 may partition the current CU into PUs according to a plurality of partition modes. For example, inter-prediction module 121 may partition the current CU into PUs according to 2 nx 2N, 2 nx N, N x 2N, and nxn partition modes. In other embodiments, the current CU is the current PU, and is not limited.

The inter prediction module 121 may perform Integer Motion Estimation (IME) and then Fractional Motion Estimation (FME) for each of the PUs. When the inter prediction module 121 performs IME on the PU, the inter prediction module 121 may search one or more reference pictures for a reference block for the PU. After finding the reference block for the PU, inter prediction module 121 may generate a motion vector that indicates, with integer precision, a spatial displacement between the PU and the reference block for the PU. When the inter prediction module 121 performs FME on a PU, the inter prediction module 121 may refine a motion vector generated by performing IME on the PU. The motion vectors generated by performing FME on a PU may have sub-integer precision (e.g., 1/2 pixel precision, 1/4 pixel precision, etc.). After generating the motion vectors for the PU, inter prediction module 121 may use the motion vectors for the PU to generate a predictive image block for the PU.

In some possible implementations where the inter prediction module 121 signals the motion information of the PU at the decoding end using AMVP mode, the inter prediction module 121 may generate a list of candidate prediction motion vectors for the PU. The list of candidate predicted motion vectors may include one or more original candidate predicted motion vectors and one or more additional candidate predicted motion vectors derived from the original candidate predicted motion vectors. After generating the candidate prediction motion vector list for the PU, inter prediction module 121 may select a candidate prediction motion vector from the candidate prediction motion vector list and generate a Motion Vector Difference (MVD) for the PU. The MVD for the PU may indicate a difference between the motion vector indicated by the selected candidate prediction motion vector and the motion vector generated for the PU using the IME and FME. In these possible implementations, the inter prediction module 121 may output a candidate predicted motion vector index that identifies a position of the selected candidate predicted motion vector in the candidate predicted motion vector list. The inter prediction module 121 may also output the MVD of the PU.

In addition to generating motion information for the PUs by performing IME and FME on the PUs, inter prediction module 121 may also perform a Merge (Merge) operation on each of the PUs. When inter prediction module 121 performs a merge operation on a PU, inter prediction module 121 may generate a list of candidate prediction motion vectors for the PU. The list of candidate predictive motion vectors for the PU may include one or more original candidate predictive motion vectors and one or more additional candidate predictive motion vectors derived from the original candidate predictive motion vectors. The original candidate predicted motion vectors in the list of candidate predicted motion vectors may include one or more spatial candidate predicted motion vectors and temporal candidate predicted motion vectors. The spatial candidate prediction motion vector may indicate motion information of other PUs in the current picture. The temporal candidate prediction motion vector may be based on motion information of a corresponding PU that is different from the current picture. The temporal candidate prediction motion vector may also be referred to as Temporal Motion Vector Prediction (TMVP).

After generating the candidate prediction motion vector list, the inter prediction module 121 may select one of the candidate prediction motion vectors from the candidate prediction motion vector list. Inter prediction module 121 may then generate a predictive picture block for the PU based on the reference block indicated by the motion information of the PU. In merge mode, the motion information of the PU may be the same as the motion information indicated by the selected candidate prediction motion vector.

After generating the predictive tile for the PU based on the IME and FME and the predictive tile for the PU based on the merge operation, the inter prediction module 121 may select either the predictive tile generated by the FME operation or the predictive tile generated by the merge operation. In some possible implementations, the inter prediction module 121 may select the predictive image block for the PU based on rate-distortion cost analysis of the predictive image block generated by the FME operation and the predictive image block generated by the merge operation.

After inter prediction module 121 has selected predictive tiles of PUs generated by partitioning the current CU according to each of the partition modes (in some implementations, after coding tree unit CTU is divided into CUs, no further division into smaller PUs is done, at which time PU is equivalent to CU), inter prediction module 121 may select the partition mode for the current CU. In some implementations, inter prediction module 121 may select the partitioning mode for the current CU based on a rate-distortion cost analysis of selected predictive tiles of the PU that were generated by partitioning the current CU according to each of the partitioning modes. Inter prediction module 121 may output the predictive image blocks associated with PUs belonging to the selected partition mode to residual generation module 102. Inter prediction module 121 may output syntax elements to entropy encoding module 116 that indicate motion information for PUs belonging to the selected partition mode.

In the diagram of fig. 4, the inter-frame prediction module 121 includes IME modules 180A-180N (collectively referred to as "IME module 180"), FME modules 182A-182N (collectively referred to as "FME module 182"), merging modules 184A-184N (collectively referred to as "merging modules 184"), PU mode decision modules 186A-186N (collectively referred to as "PU mode decision modules 186"), and a CU mode decision module 188 (which may also include performing a mode decision process from the CTU to the CU).

The IME module 180, FME module 182, and merge module 184 may perform IME operations, FME operations, and merge operations on PUs of the current CU. The inter prediction module 121 is illustrated in the schematic diagram of fig. 4 as including a separate IME module 180, FME module 182, and merge module 184 for each PU of each partition mode of the CU. In other possible implementations, the inter prediction module 121 does not include a separate IME module 180, FME module 182, and merging module 184 for each PU of each partition mode of the CU.

As illustrated in the schematic diagram of fig. 4, IME module 180A, FME module 182A and merge module 184A may perform IME operations, FME operations, and merge operations on PUs generated by partitioning CUs according to a 2 nx 2N partitioning mode. The PU mode decision module 186A may select one of the predictive image blocks generated by the IME module 180A, FME module 182A and the merge module 184A.

IME module 180B, FME module 182B and merge module 184B may perform IME, FME, and merge operations on the left PU resulting from partitioning the CU according to the nx2N partitioning mode. The PU mode decision module 186B may select one of the predictive image blocks generated by the IME module 180B, FME module 182B and the merge module 184B.

IME module 180C, FME module 182C and merge module 184C may perform IME, FME, and merge operations on the right PU resulting from partitioning the CU according to the nx2N partitioning mode. The PU mode decision module 186C may select one of the predictive image blocks generated by the IME module 180C, FME module 182C and the merge module 184C.

IME module 180N, FME module 182N and merge module 184 may perform IME, FME, and merge operations on the bottom right PU generated by partitioning the CU according to the nxn partitioning mode. The PU mode decision module 186N may select one of the predictive image blocks generated by the IME module 180N, FME module 182N and the merge module 184N.

The PU mode decision module 186 may select a predictive picture block based on rate-distortion cost analysis of a plurality of possible predictive picture blocks and select the predictive picture block that provides the best rate-distortion cost for a given decoding scenario. For example, for bandwidth-limited applications, the PU mode decision module 186 may bias towards selecting predictive tiles that increase the compression ratio, while for other applications, the PU mode decision module 186 may bias towards selecting predictive tiles that increase the reconstructed video quality. After PU mode decision module 186 selects the predictive tiles for the PUs of the current CU, CU mode decision module 188 selects the partition mode for the current CU and outputs the predictive tiles and motion information for the PUs belonging to the selected partition mode.

Fig. 5 is a schematic diagram illustrating an exemplary image block to be processed and a reference block thereof in an embodiment of the present application. As shown in fig. 5, W and H are the width and height of the to-be-processed image block 500 and the co-located block (simply referred to as the mapped image block) 500' of the to-be-processed image block in the specified reference image. The reference block of the image block to be processed comprises: the image processing method comprises the steps of obtaining an image block to be processed, wherein the image block to be processed comprises an upper side airspace adjacent block and a left side airspace adjacent block of the image block to be processed, and a lower side airspace adjacent block and a right side airspace adjacent block of the image block to be mapped, wherein the image block to be mapped is an image block which has the same size and shape as the image block to be processed in a specified reference image, and the position of the image block to be mapped in the specified reference image is the same as the position of the image block to be processed in an image (generally. The lower and right spatially neighboring blocks of the mapped image block may also be referred to as temporal reference blocks. Each frame image may be divided into image blocks for encoding, which may be further divided into smaller blocks. For example, the image block to be processed and the mapping image block may be divided into a plurality of MxN sub-blocks, i.e. each sub-block is MxN pixels in size, and it is not assumed that each reference block is also MxN pixels in size, i.e. the same size as the sub-blocks of the image block to be processed. "M × N" and "M by N" are used interchangeably to refer to the pixel sizes of image sub-blocks in the horizontal and vertical dimensions, i.e., M pixels in the horizontal direction and N pixels in the vertical direction, where M, N represents a non-negative integer value. Further, M and N are not necessarily the same. For example, M may be equal to N, M, N may be 4, that is, the size of the sub-block is 4x4, M may also be not equal to N, for example, M is 8, N is 4, that is, the size of the sub-block is 8x4, and in a feasible embodiment, the size of the sub-block of the image block to be processed and the size of the reference block may be 4x4, 8x8, 8x4 or 4x8 pixels, or the minimum size of the standard allowable prediction block. In a possible embodiment, the measurement units of W and H are the width and height of the sub-block, respectively, i.e. W represents the ratio of the width of the image block to be processed to the width of the sub-block in the image block to be processed, and H represents the ratio of the height of the image block to be processed to the height of the sub-block in the image block to be processed. In addition, the image blocks to be processed described in the present application may be understood as, but not limited to: a Prediction Unit (PU) or a Coding Unit (CU) or a Transform Unit (TU), etc. According to the specifications of different video compression codec standards, a CU may include one or more prediction units, PUs, or the sizes of the PUs and the CU are the same. The tiles may have fixed or variable sizes and differ in size according to different video compression codec standards. Furthermore, an image block to be processed refers to an image block to be currently encoded or currently decoded, such as a prediction unit to be encoded or decoded.

In one example, as shown in fig. 5, it may be determined sequentially along a direction 1 whether each left-side spatial neighboring block of the image block to be processed is available, and may be determined sequentially along a direction 2 whether each upper-side spatial neighboring block of the image block to be processed is available, for example, whether the above neighboring blocks adopt inter-coding, and if the neighboring blocks exist and adopt inter-coding, the neighboring blocks are available; if a contiguous block does not exist or is intra-coded, the contiguous block is not available. In one possible implementation, if one neighboring block employs intra-coding, the motion information of other neighboring reference blocks is copied as the motion information of the neighboring block. And detecting whether the lower spatial domain adjacent block and the right spatial domain adjacent block of the mapped image block are available according to a similar method, which is not described herein again.

It should be understood that there may be different granularities for storing motion information, such as in h.264 and h.265 standards where the motion information is a 4x4 pixel set as a basic unit for storing motion information, and for example, a 2x2,8x8,4x8, 8x4 and other pixel sets may be used as basic units for storing motion information. In this document, a basic unit that does not store motion information is simply referred to as a basic storage unit.

When the size of the reference block is consistent with the size of the basic storage unit, the motion information stored in the basic storage unit corresponding to the reference block can be directly acquired as the motion information corresponding to the reference block.

Or, when the size of the reference block is smaller than the size of the basic storage unit, the motion information stored in the basic storage unit corresponding to the reference block may be directly acquired as the motion information corresponding to the reference block.

Alternatively, when the size of the reference block is larger than the size of the basic unit storing the motion information, the motion information stored in the corresponding basic storage unit at the predetermined position of the reference block may be acquired. For example, the motion information stored in the basic storage unit corresponding to the top-left corner point of the reference block may be obtained, or the motion information stored in the basic storage unit corresponding to the center point of the reference block may be obtained as the motion information corresponding to the reference block.

In the embodiment of the present application, for convenience of description, a sub-block of an image to be processed is also referred to as a basic prediction block.

Fig. 6 exemplarily shows a schematic flowchart for obtaining a motion vector of each basic prediction block inside a to-be-processed image block according to a motion vector weighting corresponding to a reference block of the to-be-processed image block in the embodiment of the present application, including:

s601, determining the size of a basic prediction block in an image block to be processed, wherein the size is used for determining the position of the basic prediction block in the image block to be processed;

in a possible embodiment, the size of the basic prediction block in the image block to be processed may be a preset fixed value, predetermined by the codec side, and respectively fixed at the codec side. Exemplarily, when the two adjacent sides of the basic prediction block have different side lengths, that is, the basic prediction block is a non-square rectangle (non-square), it is determined that the side length of the shorter side of the basic prediction block is 4 or 8; when the two adjacent sides of the basic prediction block have equal side lengths, that is, the basic prediction block is a square, the side length of the basic prediction block is determined to be 4 or 8. It should be understood that the above-mentioned side length of 4 or 8 is only an exemplary value, and may be other constants such as 16,24, and the like.

In a possible implementation, the size of the basic prediction block in the image block to be processed may be obtained by parsing the code stream, specifically: analyzing a first identifier from a code stream, where the first identifier is used to indicate a size of the basic prediction block, and the first identifier is located in a code stream segment corresponding to one of a Sequence Parameter Set (SPS) of a sequence in which the to-be-processed image block is located, a Picture Parameter Set (PPS) of an image in which the to-be-processed image block is located, and a slice header (or slice segment header) of a slice in which the to-be-processed image block is located.

That is, the corresponding syntax element may be parsed from the codestream, thereby determining the size of the basic prediction block. The syntax element may be carried in a code stream portion corresponding to the SPS, a code stream portion corresponding to the PPS, or a code stream portion corresponding to the slice header.

It should be understood that the basic prediction block in the entire sequence has the same size when the size of the basic prediction block is parsed from the SPS, the basic prediction block in the entire image frame has the same size when the size of the basic prediction block is parsed from the PPS, and the basic prediction block in the entire slice has the same size when the size of the basic prediction block is parsed from the slice header.

It should be understood that, in this context, an image and an image frame are different concepts, and an image includes an image in the form of an entire frame (i.e., an image frame), and also includes an image in the form of a slice (slice), an image in the form of a slice (tile), or an image in the form of other sub-images, without limitation.

It is to be understood that, for a slice employing intra prediction, the slice header of the slice employing intra prediction does not have the first identification described above, since the size of the basic prediction block does not need to be determined.

Specifically, the encoding end determines the size of the basic prediction block in an appropriate manner (for example, a rate distortion selection manner or an experimental empirical value manner), encodes the determined size of the basic prediction block into a code stream, and the decoding end analyzes the size of the basic prediction block from the code stream.

In a possible implementation, the size of the basic prediction block in the image block to be processed is determined by the history information, and therefore can be adaptively obtained at the codec end, specifically, the size of the basic prediction block is determined according to the size of a planar mode prediction block in a previously reconstructed image, wherein the planar mode prediction block is the image block to be processed which is subjected to inter prediction according to the method of any one of claims 1 to 7, and the previously reconstructed image is an image which is located in coding order before the image block to be processed.

It is understood that when determining the basic prediction block of the current picture, the image block to be processed in the previously reconstructed picture, which is inter-predicted according to the method of any one of claims 1 to 7, has been processed, and the planar mode prediction block is actually the image block which is inter-predicted according to the method of any one of claims 1 to 7. The relevant paragraphs herein are explained accordingly and will not be repeated.

An image block to be processed for inter prediction by the method described in the embodiment of the present application (e.g., the method shown in fig. 6) is not referred to as a planar mode prediction block. The size of the basic prediction block in the image (hereinafter referred to simply as the current image) in which the image block to be processed is located can be estimated from the size of the statistical plane mode prediction block in the previously coded image.

It should be understood that the encoding order of the image at the encoding end and the decoding order of the image at the decoding end are consistent, and therefore, the previously reconstructed image is an image whose encoding order is before the image of the image block to be processed, and can also be described as an image whose decoding order is before the image of the image block to be processed. The encoding order and the decoding order are understood in the above manner and will not be described in detail herein.

It should be understood that when the coding order of the reconstructed image a existing at the coding end and the decoding order of the reconstructed image B existing at the decoding end are the same, the image a and the image B are the same, so that the same prior information can be obtained by performing analysis based on the same reconstructed image at the coding end and the decoding end, respectively, the size of the basic prediction block is determined based on the prior information, and the same result can be obtained at the coding end and the decoding end, that is, an adaptive mechanism for determining the size of the basic prediction block is implemented.

Specifically, the size of the current picture basic prediction block may be determined as follows:

calculating an average of the products of width and height of all the planar mode prediction blocks in the previous reconstructed image;

when the average value is smaller than a threshold value, the size of the basic prediction block is a first size;

when the average is greater than or equal to the threshold, the size of the basic prediction block is a second size, wherein the first size is smaller than the second size.

It should be understood that, in general, the above threshold value is preset.

In a possible implementation manner, when POC (picture order count) of reference frames of the image where the to-be-processed image block is located is smaller than POC of the image where the to-be-processed image block is located, the threshold is a first threshold; when the POC of at least one reference frame of the picture in which the to-be-processed image block is located is greater than the POC of the picture in which the to-be-processed image block is located, the threshold is a second threshold, wherein the first threshold and the second threshold are different.

I.e., when encoded in a low latency (low delay) manner, when the POC of the reference frames of the current picture is less than the POC of the current picture, the threshold is set to a first value, which may be set to 75 as an example, and when encoded in a random access (random access) manner, when the POC of the at least one reference frame of the current picture is greater than the POC of the current picture, the threshold is set to a second value, which may be set to 27 as an example. It is to be understood that the arrangement of the first and second values is not limiting.

It is understood that the first dimension is smaller than the second dimension, and for example, the relationship between the first dimension and the second dimension may include the first dimension being 4 (square side length) and the second dimension being 8 (square side length), the first dimension being 4x4 and the second dimension being 8x8, the first dimension being 4x4 and the second dimension being 4x8, the first dimension being 4x8 and the second dimension being 8x8, the first dimension being 4x8 and the second dimension being 8x16, without limitation.

In a possible implementation manner, the previously reconstructed image is a reconstructed image whose encoding order is closest to the image where the image block to be processed is located, that is, the previously reconstructed image is a reconstructed image whose decoding order is closest to the image where the image block to be processed is located.

That is, the size of the basic prediction block in the current image frame is determined according to the statistical information of all the plane mode prediction blocks in the previous encoding/decoding frame of the current image frame (for example, the average value of the products of width and height of all the plane mode prediction blocks), or the size of the basic prediction block in the current slice is determined according to the statistical information of all the plane mode prediction blocks in the previous slice of the current slice. As previously mentioned, the image may also include other forms of sub-images and, therefore, is not limited to image frames and slices.

It should be understood that in this embodiment, the statistical information is updated in units of image frames or bands, i.e., once per image frame or band.

It should be understood that no update of statistical information is performed in image frames or slices that employ intra prediction.

In a feasible implementation manner, the previous reconstructed image is a reconstructed image whose encoding sequence is closest to the image where the to-be-processed image block is located, in an image whose temporal layer identifier is the same as that of the image where the to-be-processed image block is located, that is, the previous reconstructed image is a reconstructed image whose decoding sequence is closest to the image where the to-be-processed image block is located, in an image whose temporal layer identifier is the same as that of the image where the to-be-processed image block is located.

That is, a picture closest in encoding distance to the current picture is determined from among pictures having the same temporal layer identification (temporal ID) as the current picture. The specific manner may refer to the previous possible implementation manner, which is not described in detail.

In a possible embodiment, the previously reconstructed image is a plurality of images, and correspondingly, the calculating an average value of products of widths and heights of all the plane mode prediction blocks in the previously reconstructed image includes: calculating an average of products of widths and heights of all of the planar-mode prediction blocks in the plurality of previously reconstructed images.

It should be understood that the above two possible embodiments respectively determine the size of the basic prediction block of the current image according to the statistical data of a single previous reconstructed image, while in the present embodiment the statistical data of a plurality of previous reconstructed images are accumulated to determine the size of the basic prediction block of the current image. That is, in this embodiment, the statistical information is updated in units of a plurality of image frames or a plurality of bands, i.e., once per a preset number of image frames or per a preset number of bands, or the statistical information may be accumulated without being updated all the time. Specifically, calculating an average value of products of widths and heights of all the plane mode prediction blocks in the plurality of previously reconstructed images may include: the obtaining a final average value for comparison with the threshold in the present embodiment by respectively counting an average value of products of widths and heights of all the plane mode prediction blocks in each of the plurality of previously reconstructed images and weighting the respectively counted average values, may further include: the product of the width and height of all the plane mode prediction blocks in a plurality of previously reconstructed images is accumulated and divided by the number of all the plane mode prediction blocks to obtain an average value for comparison with the threshold in the present embodiment.

In a possible embodiment, the calculation of the average value of the product of width and height of all the planar mode prediction blocks in the previously reconstructed image further comprises determining that the statistical information is valid, for example, if there is no planar mode prediction block in the previously reconstructed image, the average value cannot be calculated, and the statistical information is not valid, and correspondingly, the statistical information may not be updated, or the size of the basic prediction block of the current image is set to a preset value, for example, 4 × 4 for a square block.

It should be understood that, in the embodiment of determining the size of the basic prediction block using the history information for the first image using inter prediction, the size of the basic prediction block is also set to a preset value.

In a possible embodiment, determining the size of the basic prediction block in the to-be-processed image block further comprises determining the shape of the basic prediction block, and for example, when the to-be-processed image block is square, the basic prediction block may be determined to be also square, or the aspect ratio of the to-be-processed image block and the aspect ratio of the basic prediction block are consistent, or the width and the height of the to-be-processed image block are equally divided into several equal parts to obtain the width and the height of the basic prediction block, respectively, or the shape of the to-be-processed image block and the shape of the basic prediction block are unrelated. For example, the basic prediction block may be fixedly set to be square, or when the size of the to-be-processed image block is 32x16, the basic prediction block may be set to be 16x8 or 8x4, etc., without limitation.

It should be understood that in one possible implementation, the determination of the basic prediction block shape is fixed at the codec end separately and remains consistent.

In a possible embodiment, after this step, the method further comprises:

s602, dividing the image block to be processed into a plurality of basic prediction blocks according to the size; and sequentially determining the position of each basic prediction block in the image block to be processed.

It should be understood that the size of each basic prediction block is the same, and after the size of the basic prediction block is determined, the position of each basic prediction block can be deduced sequentially by size in the image block to be processed.

It should be understood that in a possible embodiment, the positions of the image block to be processed and the basic prediction block are both in the form of coordinates, and this step only requires determining the coordinates of each basic prediction block, or, the image block to be processed and the basic prediction block are differentiated without a materialized partitioning step.

S603, determining a first reference block and a second reference block of the basic prediction block according to the position, wherein a left boundary of the first reference block and a left boundary of the basic prediction unit are collinear, an upper boundary of the second reference block and an upper boundary of the basic prediction unit are collinear, the first reference block is adjacent to the upper boundary of the image block to be processed, and the second reference block is adjacent to the left boundary of the image block to be processed.

S604, performing weighted calculation on one or more of the motion vector corresponding to the first reference block, the motion vector corresponding to the second reference block and the motion vector corresponding to the original reference block with a preset position relation with the image block to be processed to obtain the motion vector corresponding to the basic prediction block.

In a possible implementation manner, the original reference block having a preset positional relationship with the image block to be processed includes: and the original reference block has a preset spatial domain position relation with the image block to be processed and/or has a preset time domain position relation with the image block to be processed.

In one possible implementation, an original reference block having a predetermined spatial position relationship with the image block to be processed includes: the image block which is located at the upper left corner of the image block to be processed and is adjacent to the upper left corner point of the image block to be processed, the image block which is located at the upper right corner of the image block to be processed and is adjacent to the upper right corner point of the image block to be processed, and one or more of the image blocks which are located at the lower left corner of the image block to be processed and are adjacent to the lower left corner point of the image block to be processed, wherein an original reference block which has a preset spatial domain position relation with the image block to be processed is located outside the image block to be processed and is not simply referred to as a spatial domain reference block.

In a possible implementation manner, an original reference block having a preset temporal position relationship with the image block to be processed includes: and the image block is positioned at the lower right corner of the mapping image block and adjacent to the lower right corner point of the mapping image block in the target reference frame, wherein the original reference block which has a preset time domain position relation with the to-be-processed image block is positioned outside the mapping image block, the size of the mapping image block is equal to that of the to-be-processed image block, and the position of the mapping image block in the target reference frame is the same as that of the to-be-processed image block in the image frame where the to-be-processed image block is positioned, and the mapping image block is not simply referred to as a time domain reference block.

In a possible implementation manner, the index information and the reference frame list information of the target reference frame are obtained by parsing the code stream.

In a feasible implementation manner, the index information and the reference frame list information of the target reference frame are located in a code stream segment corresponding to a slice head of a slice in which the image block to be processed is located.

Specific implementation manners of steps S603 and S604 will be described in detail below:

in one possible embodiment, as shown in FIG. 7:

s701, determining a first reference block 809 and a second reference block 802 according to the position of the basic prediction block 604 in the image block 600 to be processed, wherein the motion vector corresponding to the first reference block is A (x, -1), and the motion vector corresponding to the second reference block is L (-1, y);

S702A, obtaining a motion vector corresponding to the first temporary block 806 by performing a weighted calculation based on a motion vector corresponding to the spatial reference block 805 at the top right corner of the to-be-processed image block and a motion vector corresponding to the temporal reference block 807 at the bottom right corner of the to-be-processed image block, where, for example, the calculation formula is R (W, y) × AR + (y +1) × BR)/H, where AR is the motion vector corresponding to the image block located at the top right corner of the to-be-processed image block and adjacent to the top right corner point of the to-be-processed image block, BR is the motion vector corresponding to the image block located at the bottom right corner of the to-be-processed image block and adjacent to the bottom right corner point of the to-be-processed image block in the target reference frame, H is a ratio of the height of the to the basic prediction block, and y is a vertical distance of the top left corner point of the basic prediction block relative to the top left corner point of the to A high ratio of the basic prediction blocks. And the index information and the reference frame list information of the target reference frame are obtained by analyzing the slice header.

S702B, obtaining a motion vector corresponding to the second temporary block 808 by performing a weighted calculation based on a motion vector corresponding to the spatial reference block 801 at the lower left corner of the to-be-processed image block and a motion vector corresponding to the temporal reference block 807 at the lower right corner of the to-be-processed image block, where an exemplary calculation formula is B (x, H) ((W-x-1) × BL + (x +1) × BR)/W, where BL is the motion vector corresponding to the image block located at the lower left corner of the to-be-processed image block and adjacent to the lower left corner point of the to-be-processed image block, BR is the motion vector corresponding to the image block located at the lower right corner of the to-be-processed image block and adjacent to the lower right corner point of the to-be-processed image block in the target reference frame, W is a ratio of the width of the to-be-processed image block and the width of the basic prediction block, and x is a horizontal distance of the upper left corner point of The width ratio of the basic prediction block.

It should be understood that step S702A and step S702B do not define a precedence relationship.

S703A, performing weighted calculation based on the motion vector corresponding to the first temporary block of the image block to be processed and the motion vector corresponding to the second reference block of the image block to be processed to obtain the first temporary motion vector P corresponding to the basic prediction unit_h(x, y) illustratively, the calculation formula is P_h(x，y)＝(W-1-x)×L(-1，y)+(x+1)×R(W，y)。

S703B, performing weighted calculation based on the motion vector corresponding to the second temporary block of the image block to be processed and the motion vector corresponding to the first reference block of the image block to be processed to obtain a second temporary motion vector P corresponding to the basic prediction unit_v(x, y) illustratively, the calculation formula is P_v(x，y)＝(H-1-y)×A(x，-1)+(y+1)×B(x，H)。

It should be understood that step S703A and step S703B do not define a precedence relationship.

S704, performing a weighted calculation based on the first temporary motion vector and the second temporary motion vector of the image block to be processed to obtain a motion vector P (x, y) corresponding to the basic prediction unit, where the calculation formula is, for example, P (x, y) ═ H × P_h(x，y)+W×P_v(x.y)+H×W)/(2×H×W)。

It should be understood that in a possible embodiment, the motion vector P (x, y) corresponding to the basic prediction unit can also be obtained by a single formula combining the above steps, and the calculation formula is, for example, a formula

P(x，y)＝(H×((W-1-x)×L(-1，y)+(x+1)×((H-y-1)×AR+(y+1)×BR)/H)

+W×((H-1-y)×A(x，-1)+(y+1)×((W-x-1)×BL+(x+1)

×BR)/W)+H×W)/(2×H×W)

In another possible embodiment, as shown in fig. 8:

s801, determining a first reference block 809 and a second reference block 802 according to the position of a basic prediction block 604 in the image block 600 to be processed, wherein the motion vector corresponding to the first reference block is A (x, -1), and the motion vector corresponding to the second reference block is L (-1, y);

S802A, taking the motion vector corresponding to the spatial domain reference block 805 in the upper right corner of the image block to be processed as the motion vector corresponding to the first temporary block 806 of the image block to be processed;

S802B, taking a motion vector corresponding to the spatial domain reference block 801 at the lower left corner of the image block to be processed as a motion vector corresponding to the second temporary block 808 of the image block to be processed;

S803A, performing weighted calculation based on the motion vector R (W, y) corresponding to the first temporary block of the image block to be processed and the motion vector corresponding to the second reference block of the image block to be processed to obtain the first temporary motion vector P corresponding to the basic prediction unit_h(x, y), illustratively, the calculation formula is P_h(x，y)＝(W-1-x)×L(-1，y)+(x+1)×R(W，y)。

S803B, and obtaining a second temporary motion vector P corresponding to the basic prediction unit by performing weighted calculation based on the motion vector B (x, H) corresponding to the second temporary block of the image block to be processed and the motion vector corresponding to the first reference block of the image block to be processed_v(x, y), illustratively, the calculation formula is P_v(x，y)＝(H-1-y)×A(x，-1)+(y+1)×B(x，H)。

It should be understood that step S803A and step S803B do not define a precedence relationship.

S804, performing a weighted calculation based on the first temporary motion vector and the second temporary motion vector of the image block to be processed to obtain a motion vector P (x, y) corresponding to the basic prediction unit, where the calculation formula is, for example, P (x, y) ═ H × P_h(x，y)+W×P_v(x，y)+H×W)/(2×H×W)。

In another possible embodiment, as shown in fig. 9:

s901, determining a first reference block 809 and a second reference block 802 according to the position of a basic prediction block 604 in the image block 600 to be processed, wherein the motion vector corresponding to the first reference block is A (x, -1), and the motion vector corresponding to the second reference block is L (-1, y);

s902, determining a first temporary block 806 and a second temporary block 809 according to the position of the basic prediction block 604 in the image block 600 to be processed, where the first temporary block is an image block located at the position of the block 806 to which the image block is mapped in the target reference frame, the second temporary block is an image block located at the position of the block 808 to which the image block is mapped in the target reference frame, and both the first temporary block and the second temporary block are temporal reference blocks.

S903A, carrying out weighted calculation based on the motion vector R (W, y) corresponding to the first temporary block of the image block to be processed and the motion vector corresponding to the second reference block of the image block to be processed to obtain a first temporary motion vector P corresponding to the basic prediction unit_h(x, y), illustratively, the calculation formula is P_h(x，y)＝(W-1-x)×L(-1，y)+(x+1)×R(W，y)。

S903B, carrying out weighted calculation based on the motion vector B (x, H) corresponding to the second temporary block of the image block to be processed and the motion vector corresponding to the first reference block of the image block to be processed to obtain a second temporary motion vector P corresponding to the basic prediction unit_v(x, y), illustratively, the calculation formula is P_v(x，y)＝(H-1-y)×A(x，-1)+(y+1)×B(x，H)。

It should be understood that step S903A and step S903B do not define a precedence relationship.

S904, performing a weighted calculation based on the first temporary motion vector and the second temporary motion vector of the image block to be processed to obtain a motion vector P (x, y) corresponding to the basic prediction unit, where the calculation formula is, for example, P (x, y) ═ H × P_h(x，y)+W×P_v(x，y)+H×W)/(2×H×W)。

In another possible embodiment, as shown in fig. 9:

s0101, determining a first reference block 809 and a second reference block 802 according to the position of the basic prediction block 604 in the image block 600 to be processed, wherein the motion vector corresponding to the first reference block is A (x, -1), and the motion vector corresponding to the second reference block is L (-1, y);

s0102, performing motion compensation according to the motion information of any spatial domain reference block of the image block to be processed, and determining the positions of the reference frame information and the motion compensation block.

Any of the available left spatial neighboring blocks or the upper spatial neighboring blocks shown in fig. 5 may be, for example, the first available left spatial neighboring block detected along direction 1, or the first available upper spatial neighboring block detected along direction 2; or a first available spatial domain adjacent block obtained by detecting a plurality of preset spatial domain reference blocks of the image block to be processed according to a preset order, such as the order of L → a → AR → BL → AL shown in fig. 7; the spatial domain adjacent blocks may be selected according to a predetermined rule, without limitation.

S0103, determining a first temporary block 806 and a second temporary block 808 according to the position of the basic prediction block 604 in the image block 600 to be processed, where the first temporary block is the image block located at the position of the block 806 of the motion compensation block in the reference frame determined according to the reference frame information in step S0102, the second temporary block is the image block located at the position of the block 808 of the motion compensation block in the reference frame determined according to the reference frame information in step S0102, and both the first temporary block and the second temporary block are temporal reference blocks.

S0104A, performing weighted calculation based on the motion vector R (W, y) corresponding to the first temporary block of the image block to be processed and the motion vector corresponding to the second reference block of the image block to be processed to obtain the first temporary motion vector P corresponding to the basic prediction unit_h(x, y), illustratively, the calculation formula is P_h(x，y)＝(W-1-x)×L(-1，y)+(x+1)×R(W，y)。

S0104B, performing weighted calculation based on the motion vector B (x, H) corresponding to the second temporary block of the image block to be processed and the motion vector corresponding to the first reference block of the image block to be processed to obtain a second temporary motion vector P corresponding to the basic prediction unit_v(x, y), exemplary,the calculation formula is P_v(x，y)＝(H-1-y)×A(x，-1)+(y+1)×B(x，H)。

It should be understood that step S0104A and step S0104B do not define a precedence relationship.

S0105, performing a weighted calculation based on the first temporary motion vector and the second temporary motion vector of the image block to be processed to obtain a motion vector P (x, y) corresponding to the basic prediction unit, where the calculation formula is, for example, P (x, y) ═ H × P_h(x，y)+W×P_v(x，y)+H×W)/(2×H×W)。

The relationship between an image block and a basic storage unit storing motion information is mentioned above, and the motion information stored in the basic storage unit corresponding to the image block is not referred to as actual motion information of the image block, and the motion information includes a motion vector and index information of a reference frame pointed by the motion vector. It should be understood that the index information of the reference frames of the respective reference blocks used for weighting the motion vectors of the calculated basic prediction block cannot be guaranteed to be uniform. When the index information of the reference frame of each reference block is consistent, the motion information corresponding to the reference block is the actual motion information of the reference block. When the index information of the reference frames of the reference blocks is inconsistent, the actual motion vector of the reference block needs to be weighted according to the distance relationship of the reference frames indicated by the reference frame indexes, and the motion information corresponding to the reference block is the motion vector obtained by weighting the motion vector in the actual motion information of the reference block.

Specifically, the target reference picture index may be fixed to 0, 1 or other index values, for example, or may be a reference picture index with the highest frequency of use in the reference picture list, such as the actual motion vectors of all reference blocks or the reference picture index with the highest number of times of pointing of the weighted motion vector.

Judging whether the index information of the reference frame of each reference block is the same as the index of the target image;

if the index information of the reference frame of a certain reference block is different from the target image index, the actual motion vector is scaled based on the ratio of the time distance between the image of the reference block and the reference frame image indicated by the actual motion information (reference frame index information) of the reference block to the time distance between the image of the reference block and the reference image indicated by the target reference image index to obtain a weighted motion vector.

In a possible implementation, after step S604, the method further includes:

and S605, performing motion compensation on the image block to be processed based on the obtained motion vector.

In one possible embodiment, the method comprises the following steps: adjacent basic prediction blocks having the same motion information are first combined, and then motion compensation is performed with the combined image block as a unit for motion compensation.

Specifically, first, performing horizontal merging, that is, sequentially determining from left to right whether the motion information (for example, including a motion vector, a reference frame list, and reference frame index information) of the basic prediction block and the basic prediction blocks adjacent to the basic prediction block are the same for each row of the basic prediction block in the image block to be processed. When the motion information is the same, merging two adjacent basic prediction blocks, and continuously judging whether the motion information of the next basic prediction block adjacent to the merged basic prediction block is the same as the motion information of the merged basic prediction block or not until the motion information of the adjacent basic prediction block is different from the motion information of the merged basic prediction block, stopping merging, and continuously performing the step of merging the adjacent basic prediction blocks with the same motion information by taking the basic prediction block with different motion information as a starting point until the basic prediction block row is ended.

And then, performing vertical combination, namely judging whether the lower edge of each block is completely coincided with the upper edge of another basic prediction block after horizontal combination or the non-combined basic prediction block. If the two basic prediction blocks are completely overlapped, merging two basic prediction blocks with the same motion information (or transversely merged basic prediction blocks) with overlapped edges, and continuing to perform the step of merging the adjacent basic prediction blocks with the same motion information and overlapped upper and lower edges on the longitudinally merged basic prediction block until no basic prediction block meeting the above condition exists in the image block to be processed.

And finally, performing motion compensation by taking the combined basic prediction block as a motion compensation unit.

In a possible embodiment, the merging mode for merging neighboring basic prediction blocks with the same motion information has a relation with the shape of the image block to be processed. Illustratively, when the width of the to-be-processed image block is greater than or equal to the height of the to-be-processed image block, the basic prediction block is merged only in the above-described manner of lateral merging. When the width of the image block to be processed is smaller than the height of the image block to be processed, each column of basic prediction blocks in the image block to be processed sequentially judges whether the motion information (including motion vectors, reference frame lists and reference frame index information, for example) of the basic prediction block and the basic prediction blocks adjacent to the basic prediction block are the same from top to bottom. When the motion information is the same, merging two adjacent basic prediction blocks, continuously judging whether the motion information of the next basic prediction block adjacent to the merged basic prediction block is the same as the motion information of the merged basic prediction block or not, stopping merging until the motion information of the adjacent basic prediction block is the same as the motion information of the merged basic prediction block, and continuously performing the step of merging the adjacent basic prediction blocks with the same motion information by taking the basic prediction block with different motion information as a starting point until the basic prediction block column is ended.

In a possible implementation, before step S601, the method further includes:

s606, determining that the first reference block and the second reference block are located in the image boundary where the image block to be processed is located.

That is, when the upper boundary line of the image block to be processed and the upper boundary line of the image in which the image block to be processed is located coincide, the first reference block does not exist, and the scheme in the embodiment of the present application is not applicable. When the left boundary of the image block to be processed and the left boundary of the image in which the image block to be processed is located coincide, the second reference block does not exist, and the scheme in the embodiment of the present application is also not applicable.

In a possible implementation, before step S601, the method further includes:

s607, determining that the width of the image block to be processed is greater than or equal to 16 and the height of the image block to be processed is greater than or equal to 16; or determining that the width of the image block to be processed is greater than or equal to 16; or, determining that the height of the image block to be processed is greater than or equal to 16.

That is, when the width of the image block to be processed is less than 16 or the height is less than 16, the scheme in the embodiment of the present application is not applicable, or, when the width of the image block to be processed is less than 16 and the height is less than 16, the scheme in the embodiment of the present application is not applicable.

It should be understood that, for example, 16 is used as the threshold, other values such as 8, 24, and 32 may also be used, and the thresholds corresponding to the width and the height may also be unequal, which is not limited.

It should be understood that step S606 and step S607 may be performed in cooperation. Illustratively, in one possible implementation, the inter prediction scheme in the embodiment of the present application cannot be used when the to-be-processed image block is located at the left boundary, or the upper boundary, or both the width and the height of the to-be-processed image block are less than 16, and in another possible implementation, the inter prediction scheme in the embodiment of the present application cannot be used when the to-be-processed image block is located at the left boundary, or the upper boundary, or both the width and the height of the to-be-processed image block are less than 16.

Fig. 10 is a schematic block diagram of an inter-frame prediction apparatus 1000 according to an embodiment of the present application, which specifically includes:

a determining module 1001 for determining a size of a basic prediction block in an image block to be processed, the size being used to determine a position of the basic prediction block in the image block to be processed;

a positioning module 1002, configured to determine, according to the position, a first reference block and a second reference block of the basic prediction block, wherein a left boundary of the first reference block and a left boundary of the basic prediction unit are collinear, an upper boundary of the second reference block and an upper boundary of the basic prediction unit are collinear, the first reference block is adjacent to an upper boundary of the image block to be processed, and the second reference block is adjacent to a left boundary of the image block to be processed;

a calculating module 1003, configured to perform weighted calculation on one or more of the motion vector corresponding to the first reference block, the motion vector corresponding to the second reference block, and the motion vector corresponding to the original reference block having a preset positional relationship with the to-be-processed image block, so as to obtain a motion vector corresponding to the basic prediction block.

In a first possible implementation manner, the original reference block having a preset positional relationship with the image block to be processed includes: and the original reference block has a preset spatial domain position relation with the image block to be processed and/or has a preset time domain position relation with the image block to be processed.

In a second possible implementation manner, an original reference block having a preset spatial position relationship with the image block to be processed includes: the image block processing method comprises the following steps of an image block which is located at the upper left corner of an image block to be processed and is adjacent to the upper left corner point of the image block to be processed, an image block which is located at the upper right corner of the image block to be processed and is adjacent to the upper right corner point of the image block to be processed, and one or more image blocks which are located at the lower left corner of the image block to be processed and are adjacent to the lower left corner point of the image block to be processed, wherein an original reference block which has a preset spatial domain position relation with the image block to be processed is located outside the image block to be.

In a third possible implementation manner, an original reference block having a preset temporal position relationship with the to-be-processed image block includes: and the image block is positioned at the lower right corner of the mapping image block and adjacent to the lower right corner point of the mapping image block in the target reference frame, wherein the original reference block which has a preset time domain position relation with the to-be-processed image block is positioned outside the mapping image block, the size of the mapping image block is equal to that of the to-be-processed image block, and the position of the mapping image block in the target reference frame is the same as that of the to-be-processed image block in the image frame where the to-be-processed image block is positioned.

In a fourth possible implementation, the index information and the reference frame list information of the target reference frame are obtained by parsing the codestream.

In a fifth feasible implementation manner, the index information and the reference frame list information of the target reference frame are located in a code stream segment corresponding to a slice head of a slice in which the to-be-processed image block is located.

In a sixth possible implementation, the calculation module is specifically configured to obtain the motion vector corresponding to the basic prediction block according to the following formula:

P(x，y)＝(H×P_h(x，y)+W×P_v(x，y)+H×W)/(2×H×W),

wherein the content of the first and second substances,

P_h(x，y)＝(W-1-x)×L(-1，y)+(x+1)×R(W，y)

P_v(x，y)＝(H-1-y)×A(x，-1)+(y+1)×B(x，H)

R(W，y)＝((H-y-1)×AR+(y+1)×BR)/H

B(x，H)＝((W-x-1)×BL+(x+1)×BR)/W

AR is a motion vector corresponding to the image block located at the upper right corner of the to-be-processed image block and adjacent to the upper right corner point of the to-be-processed image block, BR is a motion vector corresponding to the image block located at the lower right corner of the to-be-processed image block and adjacent to the lower right corner point of the to-be-processed image block in the target reference frame, BL is a motion vector corresponding to the image block located at the lower left corner of the to-be-processed image block and adjacent to the lower left corner point of the to-be-processed image block, x is a ratio of a horizontal distance of the upper left corner point of the basic prediction block relative to the upper left corner point of the to-be-processed image block to a width of the basic prediction block, y is a ratio of a vertical distance of the upper left corner point of the basic prediction block relative to the upper left corner point of the to-be-processed image block to, w is the ratio of the width of the image block to be processed to the width of the basic prediction block, L (-1, y) is the motion vector corresponding to the second reference block, A (x, -1) is the motion vector corresponding to the first reference block, and P (x, y) is the motion vector corresponding to the basic prediction block.

In a seventh possible implementation manner, the determining module 1001 is specifically configured to: when the side lengths of two adjacent sides of the basic prediction block are not equal, determining that the side length of the shorter side of the basic prediction block is 4 or 8; when the side lengths of two adjacent sides of the basic prediction block are equal, determining that the side length of the basic prediction block is 4 or 8.

In an eighth possible implementation manner, the determining module 1001 is specifically configured to: and analyzing a first identifier from a code stream, wherein the first identifier is used for indicating the size of the basic prediction block, and the first identifier is located in a code stream segment corresponding to one of a sequence parameter set of a sequence in which the image blocks to be processed are located, an image parameter set of an image in which the image blocks to be processed are located, and a slice header of a slice in which the image blocks to be processed are located.

In a ninth possible implementation, the determining module 1001 is specifically configured to: the size of the basic prediction block is determined according to the size of a plane mode prediction block in a previously reconstructed image, wherein the plane mode prediction block is an image block to be processed which is subjected to inter prediction according to the previous possible embodiments, and the previously reconstructed image is an image which is positioned in coding order before the image of the image block to be processed.

In a tenth possible implementation, the determining module 1001 is specifically configured to: calculating an average of the products of width and height of all the planar mode prediction blocks in the previous reconstructed image; when the average value is smaller than a threshold value, the size of the basic prediction block is a first size; when the average is greater than or equal to the threshold, the size of the basic prediction block is a second size, wherein the first size is smaller than the second size.

In an eleventh possible implementation manner, the previously reconstructed image is a reconstructed image that is closest to the image in which the to-be-processed image block is located in the encoding order, among images having the same temporal layer identifier as the image in which the to-be-processed image block is located.

In a twelfth possible implementation, the previously reconstructed image is a reconstructed image that is closest to the image where the image block to be processed is located in the encoding order.

In a thirteenth possible implementation manner, the previously reconstructed images are a plurality of images, and correspondingly, the determining module 1001 is specifically configured to: calculating an average of products of widths and heights of all of the planar-mode prediction blocks in the plurality of previously reconstructed images.

In a fourteenth possible embodiment, the threshold is a preset threshold.

In a fifteenth possible implementation manner, when POC of reference frames of an image in which the to-be-processed image block is located is smaller than POC of the image in which the to-be-processed image block is located, the threshold is a first threshold; when the POC of at least one reference frame of the image where the image block to be processed is located is greater than the POC of the image where the image block to be processed is located, the threshold is a second threshold, wherein the first threshold is different from the second threshold.

In a sixteenth possible implementation, the method further includes a dividing module 1004 configured to: dividing the image block to be processed into a plurality of basic prediction blocks according to the size; and sequentially determining the position of each basic prediction block in the image block to be processed.

In a seventeenth possible implementation manner, the system further includes a determining module 1005 configured to: and determining that the first reference block and the second reference block are positioned in the image boundary where the image block to be processed is positioned.

In an eighteenth possible implementation manner, the determining module 1005 is further configured to: determining that the width of the image block to be processed is greater than or equal to 16 and the height of the image block to be processed is greater than or equal to 16; or, determining that the width of the image block to be processed is greater than or equal to 16; or, determining that the height of the image block to be processed is greater than or equal to 16.

In a nineteenth possible implementation, the apparatus is configured to encode the image block to be processed, or decode the image block to be processed.

Fig. 11 is a schematic block diagram of an implementation of an encoding apparatus or a decoding apparatus (abbreviated as a decoding apparatus 1100) according to an embodiment of the present application. Transcoding device 1100 may include, among other things, a processor 1110, a memory 1130, and a bus system 1150. Wherein the processor is connected with the memory through the bus system, the memory is used for storing instructions, and the processor is used for executing the instructions stored by the memory. The memory of the encoding device stores program code, and the processor may call the program code stored in the memory to perform various video encoding or decoding methods described herein, particularly video encoding or decoding methods in various new inter prediction modes, and methods of predicting motion information in various new inter prediction modes. To avoid repetition, it is not described in detail here.

The memory 1130 may include a Read Only Memory (ROM) device or a Random Access Memory (RAM) device. Any other suitable type of memory device may also be used for memory 1130. Memory 1130 may include code and data 1131 that are accessed by processor 1110 using bus 1150. The memory 1130 may further include an operating system 1133 and application programs 1135, the application programs 1135 including at least one program that allows the processor 1110 to perform the video encoding or decoding methods described herein, and in particular the inter prediction methods or motion information prediction methods described herein. For example, the applications 1135 may include applications 1 through N, which further include video encoding or decoding applications (simply video coding applications) that perform the video encoding or decoding methods described herein.

The bus system 1150 may include a power bus, a control bus, a status signal bus, and the like, in addition to a data bus. For clarity of illustration, however, the various buses are designated in the figure as the bus system 1150.

Optionally, the translator device 1100 may also include one or more output devices, such as a display 1170. In one example, the display 1170 may be a touch sensitive display that incorporates a display with touch sensitive elements operable to sense touch input. A display 1170 may be connected to the processor 1110 via the bus 1150.

Although particular aspects of the present application have been described with respect to video encoder 100 and video decoder 200, it should be understood that the techniques of the present application may be applied with many other video encoding and/or encoding units, processors, processing units, hardware-based encoding units such as encoders/decoders (CODECs), and the like. Moreover, it should be understood that the steps shown and described with respect to fig. 6 are provided as only possible implementations. That is, the steps shown in the embodiment referred to in FIG. 6 need not necessarily be performed in the order shown in FIG. 6, and fewer, additional, or alternative steps may be performed.

Moreover, it is to be understood that certain actions or events of any of the methods described herein can be performed in a different sequence, added, combined, or left out together (e.g., not all described actions or events are necessary for the practice of the methods), depending on the possible implementations. Further, in certain possible implementations, acts or events may be performed concurrently, e.g., via multi-threaded processing, interrupt processing, or multiple processors, rather than sequentially. Additionally, although specific aspects of the disclosure are described as being performed by a single module or unit for purposes of clarity, it should be understood that the techniques of this disclosure may be performed by a combination of units or modules associated with a video decoder.

In one or more possible implementations, the functions described may be implemented in hardware, software, firmware, or any combination thereof. If implemented in software, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium and executed by a hardware-based processing unit. Computer-readable media may include computer-readable storage media, corresponding to tangible media such as data storage media, or communication media, including any medium that facilitates transfer of a computer program from one place to another, such as according to a communication protocol.

In this manner, the computer-readable medium illustratively may correspond to (1) a non-transitory tangible computer-readable storage medium, or (2) a communication medium such as a signal or carrier wave. A data storage medium may be any available medium that can be accessed by one or more computers or one or more processors to retrieve instructions, code and/or data structures for implementing the techniques described herein. The computer program product may include a computer-readable medium.

Such computer-readable storage media may include, as a possible implementation and not limitation, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, flash memory, or any other medium that may be used to store desired code in the form of instructions or data structures and that may be accessed by a computer. Also, any connection is properly termed a computer-readable medium. For example, if the instructions are transmitted from a website, server, or other remote source using a coaxial cable, fiber optic cable, twisted pair, Digital Subscriber Line (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of medium.

It should be understood, however, that computer-readable storage media and data storage media do not include connections, carrier waves, signals, or other transitory media, but are instead directed to non-transitory tangible storage media. Disk and disc, as used herein, includes Compact Disc (CD), laser disc, optical disc, Digital Versatile Disc (DVD), floppy disk and blu-ray disc where disks usually reproduce data magnetically, while discs reproduce data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.

The instructions may be executed by one or more processors, such as one or more Digital Signal Processors (DSPs), general purpose microprocessors, Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs), or other equivalent integrated or discrete logic circuitry. Thus, as used herein, the term "processor" may refer to any of the foregoing structure or any other structure suitable for implementation of the techniques described herein. In addition, in some aspects, the functionality described herein may be provided within dedicated hardware and/or software modules configured for encoding and decoding, or incorporated in a combined codec. Likewise, the techniques may be fully implemented in one or more circuits or logic elements.

The techniques of this application may be implemented in a wide variety of devices or apparatuses, including wireless handsets, Integrated Circuits (ICs), or a collection of ICs (e.g., a chipset). Various components, modules, or units are described herein to emphasize functional aspects of devices configured to perform the disclosed techniques, but do not necessarily require realization by different hardware units. Rather, as described previously, the various units may be combined in a codec hardware unit or provided by an interoperative hardware unit (including one or more processors as described previously) in conjunction with a collection of suitable software and/or firmware.

The above description is only an exemplary embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

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