阅读说明：本技术 编码装置、解码装置、编码方法及解码方法 (Encoding device, decoding device, encoding method, and decoding method ) 是由 安倍清史 西孝启 远间正真 加纳龙一 桥本隆 于 2018-04-24 设计创作，主要内容包括：编码装置使用帧间预测对图片的编码对象块(1001)进行编码,使用与2个参照图片(1100、1200)中的每一个对应的运动矢量(MV_L0、MV_L1)来进行运动补偿,从2个参照图片取得2个预测图像(1140、1240),从2个参照图片取得与2个预测图像对应的2个梯度图像(1150、1250),以分割编码对象块而得到的子块单位,使用2个预测图像及2个梯度图像来导出局部运动估计值(1300),使用2个预测图像、2个梯度图像及子块单位的局部运动估计值来生成编码对象块的最终预测图像(1400)。本公开能够提供可实现压缩效率进一步提高以及减轻处理负荷的编码装置等。(An encoding device encodes a block to be encoded (1001) of a picture using inter prediction, performs motion compensation using motion vectors (MV _ L0, MV _ L1) corresponding to 2 reference pictures (1100, 1200), acquires 2 predicted images (1140, 1240) from the 2 reference pictures, acquires 2 gradient images (1150, 1250) corresponding to the 2 predicted images from the 2 reference pictures, derives a local motion estimation value (1300) using the 2 predicted images and the 2 gradient images in units of subblocks into which the block to be encoded is divided, and generates a final predicted image (1400) of the block to be encoded using the 2 predicted images, the 2 gradient images, and the local motion estimation value in units of subblocks. The present disclosure can provide an encoding device and the like that can achieve further improvement in compression efficiency and reduction in processing load.)

1. An encoding device that encodes a block to be encoded of a picture using inter prediction, the encoding device comprising:

A processor; and

A memory for storing a plurality of data to be transmitted,

The processor described above uses the memory described above,

Obtaining 2 prediction images from the 2 reference pictures by performing motion compensation using a motion vector corresponding to each of the 2 reference pictures;

Acquiring 2 gradient images corresponding to the 2 prediction images from the 2 reference pictures;

Deriving a local motion estimation value using the 2 predicted images and the 2 gradient images in units of sub-blocks obtained by dividing the block to be encoded,

And generating a final predicted image of the block to be encoded using the 2 predicted images, the 2 gradient images, and the local motion estimation values in sub-block units.

2. The encoding device according to claim 1,

in the case of obtaining a predicted image of sub-pel accuracy in the obtaining of the 2 predicted images, the sub-pel accuracy pixels are interpolated with reference to pixels in an interpolation reference range around the predicted block specified by the motion vector in each of the 2 reference pictures,

The interpolation reference range is included in a normal reference range that is referred to for motion compensation of the block to be encoded in normal inter prediction in which processing using the local motion estimation value is not performed.

3. The encoding device according to claim 2,

The interpolation reference range coincides with the normal reference range.

4. The encoding device according to claim 2 or 3,

In the acquisition of the 2 gradient images, pixels in a gradient reference range around the prediction block are referred to in each of the 2 reference pictures,

The gradient reference range is included in the interpolation reference range.

5. the encoding device according to claim 4,

The gradient reference range coincides with the interpolation reference range.

6. The encoding device according to any one of claims 1 to 5,

In the derivation of the local motion estimation value, values of a plurality of pixels included in a predictor block, which is a region corresponding to the subblock, are weighted and used for each of the 2 reference pictures,

The more the pixels located at the center of the region, the greater the weight of the plurality of pixels.

7. The encoding device according to any one of claims 1 to 6,

In the derivation of the local motion estimation value, in each of the 2 reference pictures, in addition to the pixels included in the predictor block that is the region corresponding to the subblock, the pixels included in another predictor block that is another predictor block adjacent to the predictor block and included in the predictor block specified by the motion vector are referred to.

8. The encoding device according to any one of claims 1 to 7,

In the derivation of the local motion estimation value, only some of the plurality of pixels included in the predictor block, which is a region corresponding to the subblock, are referred to in each of the 2 reference pictures.

9. The encoding device according to claim 8,

In the derivation of the local motion estimate, in each of the 2 reference pictures,

(i) Selecting a pixel pattern from a plurality of pixel patterns that are different from each other and that represent a part of pixels included in the predictor block,

(ii) Deriving the local motion estimation value of the sub-block with reference to pixels in the prediction sub-block indicated by the selected pixel pattern,

The processor also writes information representing the selected pixel pattern to a bitstream.

10. The encoding device according to claim 8,

In the derivation of the local motion estimate, in each of the 2 reference pictures,

(i) Adaptively selecting a pixel pattern from a plurality of pixel patterns which are different from each other and represent a part of pixels in a plurality of pixel patterns included in the predictor block, based on the 2 prediction images,

(ii) the local motion estimation value of the subblock is derived with reference to pixels within the prediction subblock indicated by the selected pixel pattern.

11. An encoding method for encoding a block to be encoded of a picture using inter prediction,

By performing motion compensation using a motion vector corresponding to each of 2 reference pictures, 2 prediction images are obtained from the 2 reference pictures,

acquiring 2 gradient images corresponding to the 2 prediction images from the 2 reference pictures,

Deriving a local motion estimation value using the 2 predicted images and the 2 gradient images in units of sub-blocks obtained by dividing the block to be encoded,

and generating a final predicted image of the block to be encoded using the 2 predicted images, the 2 gradient images, and the local motion estimation values in sub-block units.

12. A decoding device for decoding a block to be decoded of a picture by using inter prediction, comprising:

A processor; and

A memory for storing a plurality of data to be transmitted,

The processor described above uses the memory described above,

By performing motion compensation using a motion vector corresponding to each of 2 reference pictures, 2 prediction images are obtained from the 2 reference pictures,

Acquiring 2 gradient images corresponding to the 2 prediction images from the 2 reference pictures,

Deriving a local motion estimation value using the 2 predicted images and the 2 gradient images in units of sub-blocks obtained by dividing the block to be decoded,

and generating a final predicted image of the block to be decoded using the 2 predicted images, the 2 gradient images, and the local motion estimation values in units of sub-blocks.

13. The decoding device according to claim 12,

In the case of obtaining a predicted image of sub-pel accuracy in the obtaining of the 2 predicted images, the sub-pel accuracy pixels are interpolated with reference to pixels in an interpolation reference range around the predicted block specified by the motion vector in each of the 2 reference pictures,

The interpolation reference range is included in a normal reference range that is referred to for motion compensation of the block to be encoded in normal inter prediction in which processing using the local motion estimation value is not performed.

14. The decoding device according to claim 13,

The interpolation reference range coincides with the normal reference range.

15. The decoding device according to claim 13 or 14,

In the obtaining of the 2 gradient images, pixels in a gradient reference range around the prediction block are referred to in each of the 2 reference pictures,

The gradient reference range is included in the interpolation reference range.

16. The decoding device according to claim 15,

The gradient reference range coincides with the interpolation reference range.

17. The decoding apparatus according to any one of claims 12 to 16,

In the derivation of the local motion estimation value, values of a plurality of pixels included in a predictor block that is a region corresponding to the subblock are weighted and used for each of the 2 reference pictures,

The more the pixels located at the center of the region, the greater the weight of the plurality of pixels.

18. The decoding apparatus according to any one of claims 12 to 17,

In the derivation of the local motion estimation value, in each of the 2 reference pictures, in addition to the pixels included in the predictor block that is the region corresponding to the subblock, the pixels included in another predictor block that is another predictor block adjacent to the predictor block and included in the predictor block specified by the motion vector are referred to.

19. The decoding apparatus according to any one of claims 12 to 18,

In the derivation of the local motion estimation value, only some of the plurality of pixels included in the predictor block, which is a region corresponding to the subblock, are referred to in each of the 2 reference pictures.

20. The decoding device according to claim 19,

The processor also obtains information representing the pixel pattern from the bitstream,

In the derivation of the local motion estimate, in each of the 2 reference pictures,

(i) Selecting a pixel pattern from a plurality of pixel patterns that are different from each other and that represent some of the pixels included in the predictor block, based on the acquired information,

(ii) The local motion estimation value of the sub-block is derived with reference to pixels in the prediction sub-block indicated by the selected pixel pattern.

21. The decoding device according to claim 19,

In the derivation of the local motion estimate, in each of the 2 reference pictures,

(i) Adaptively selecting a pixel pattern from a plurality of pixel patterns which are different from each other and represent a part of pixels in a plurality of pixel patterns included in the predictor block, based on the 2 prediction images,

(ii) The local motion estimation value of the subblock is derived with reference to pixels within the prediction subblock indicated by the selected pixel pattern.

22. A decoding method for decoding a decoding object block of a picture using inter prediction,

By performing motion compensation using a motion vector corresponding to each of 2 reference pictures, 2 prediction images are obtained from the 2 reference pictures,

Acquiring 2 gradient images corresponding to the 2 prediction images from the 2 reference pictures,

deriving a local motion estimation value using the 2 predicted images and the 2 gradient images in units of sub-blocks obtained by dividing the block to be decoded,

And generating a final predicted image of the block to be decoded using the 2 predicted images, the 2 gradient images, and the local motion estimation values in units of sub-blocks.

Technical Field

The present invention relates to encoding and decoding of an image using inter prediction.

Background

The Video Coding standard specification called HEVC (High-Efficiency Video Coding) is standardized by JCT-vc (joint Video Team on Video Coding).

Disclosure of Invention

Problems to be solved by the invention

In such encoding and decoding techniques, it is required to further improve compression efficiency and reduce processing load.

Therefore, the present invention provides an encoding device, a decoding device, an encoding method, or a decoding method that can achieve further improvement in compression efficiency and reduction in processing load.

Means for solving the problems

An encoding device according to an aspect of the present invention is an encoding device that encodes a block to be encoded of a picture using inter-frame prediction, and includes a processor and a memory; the processor obtains 2 predicted images from the 2 reference pictures by performing motion compensation using motion vectors corresponding to the 2 reference pictures using the memory, obtains 2 gradient images corresponding to the 2 predicted images from the 2 reference pictures, derives local motion estimation values using the 2 predicted images and the 2 gradient images in sub-block units obtained by dividing the block to be encoded, and generates a final predicted image of the block to be encoded using the 2 predicted images, the 2 gradient images, and the local motion estimation values in sub-block units.

These inclusive or specific technical means may be realized by a system, a method, an integrated circuit, a computer program, or a computer-readable recording medium such as a CD-ROM, or may be realized by any combination of a system, a method, an integrated circuit, a computer program, and a recording medium.

Effects of the invention

The present invention can provide an encoding device, a decoding device, an encoding method, or a decoding method that can achieve further improvement in compression efficiency and reduction in processing load.

Drawings

Fig. 1 is a block diagram showing a functional configuration of an encoding device according to embodiment 1.

Fig. 2 is a diagram showing an example of block division according to embodiment 1.

Fig. 3 is a table showing transformation basis functions corresponding to respective transformation types.

Fig. 4A is a diagram showing an example of the shape of a filter used in the ALF.

Fig. 4B is a diagram showing another example of the shape of the filter used in the ALF.

Fig. 4C is a diagram showing another example of the shape of the filter used in the ALF.

fig. 5A is a diagram showing 67 intra prediction modes of intra prediction.

fig. 5B is a flowchart for explaining an outline of the predicted image correction processing performed by the OBMC processing.

Fig. 5C is a conceptual diagram for explaining an outline of the predicted image correction processing performed by the OBMC processing.

fig. 5D is a diagram illustrating an example of FRUC.

fig. 6 is a diagram for explaining pattern matching (bidirectional matching) between 2 blocks along the motion trajectory.

Fig. 7 is a diagram for explaining pattern matching (template matching) between the template in the current picture and the block in the reference picture.

Fig. 8 is a diagram for explaining a model assuming constant-velocity linear motion.

Fig. 9A is a diagram for explaining derivation of a motion vector in units of sub-blocks based on motion vectors of a plurality of adjacent blocks.

Fig. 9B is a diagram for explaining an outline of the motion vector derivation process by the merge mode.

Fig. 9C is a conceptual diagram for explaining an outline of DMVR processing.

fig. 9D is a diagram for explaining an outline of a predicted image generation method using luminance correction processing by LIC processing.

Fig. 10 is a block diagram showing a functional configuration of a decoding device according to embodiment 1.

Fig. 11 is a flowchart showing inter prediction in embodiment 2.

Fig. 12 is a conceptual diagram for explaining inter prediction in embodiment 2.

Fig. 13 is a conceptual diagram for explaining an example of reference ranges of motion compensation filtering and gradient filtering in embodiment 2.

Fig. 14 is a conceptual diagram for explaining an example of a reference range of motion compensation filtering in modification 1 of embodiment 2.

Fig. 15 is a conceptual diagram for explaining an example of a reference range of gradient filtering in modification 1 of embodiment 2.

Fig. 16 is a diagram showing an example of a pattern of pixels to be referred to in deriving a local motion estimation value in modification 2 of embodiment 2.

Fig. 17 is an overall configuration diagram of a content providing system that realizes a content distribution service.

Fig. 18 is a diagram showing an example of an encoding structure in scalable encoding.

Fig. 19 is a diagram showing an example of an encoding structure in scalable encoding.

Fig. 20 is a diagram showing an example of a display screen of a web page.

Fig. 21 is a diagram showing an example of a display screen of a web page.

Fig. 22 is a diagram showing an example of a smartphone.

Fig. 23 is a block diagram showing a configuration example of the smartphone.

Detailed Description

The embodiments are described below in detail with reference to the drawings.

The embodiments described below are all illustrative or specific examples. The numerical values, shapes, materials, constituent elements, arrangement positions and connection forms of the constituent elements, steps, order of the steps, and the like shown in the following embodiments are examples and are not intended to limit the scope of the claims. Further, among the components of the following embodiments, components that are not recited in the independent claims representing the uppermost concept will be described as arbitrary components.

(embodiment mode 1)

First, an outline of embodiment 1 will be described as an example of an encoding device and a decoding device to which processing and/or a configuration described in each aspect of the present invention will be applied. However, embodiment 1 is merely an example of an encoding device and a decoding device to which the processing and/or configuration described in each aspect of the present invention can be applied, and the processing and/or configuration described in each aspect of the present invention can be applied to an encoding device and a decoding device different from embodiment 1.

When the processing and/or configuration described in each aspect of the present invention is applied to embodiment 1, any of the following processes may be performed, for example.

(1) the encoding device or the decoding device according to embodiment 1 is configured such that, among a plurality of components constituting the encoding device or the decoding device, a component corresponding to a component described in each aspect of the present invention is replaced with a component described in each aspect of the present invention;

(2) With the encoding device or the decoding device according to embodiment 1, after any change such as addition, replacement, deletion, or the like of functions or processing to be performed is applied to some of the plurality of constituent elements constituting the encoding device or the decoding device, the constituent elements corresponding to the constituent elements described in the respective aspects of the present invention are replaced with the constituent elements described in the respective aspects of the present invention;

(3) In the method implemented by the encoding device or the decoding device according to embodiment 1, after adding a process and/or arbitrarily changing a part of the processes included in the method such as replacement or deletion, a process corresponding to the process described in each aspect of the present invention is replaced with the process described in each aspect of the present invention;

(4) a part of the plurality of components constituting the encoding device or the decoding device according to embodiment 1 is combined with the components described in the respective embodiments of the present invention, the components having a part of the functions of the components described in the respective embodiments of the present invention, or the components performing a part of the processes performed by the components described in the respective embodiments of the present invention;

(5) A combination of a component having a part of functions of a part of a plurality of components constituting the encoding device or the decoding device of embodiment 1 or a component performing a part of processing performed by a part of a plurality of components constituting the encoding device or the decoding device of embodiment 1 with a component described in each aspect of the present invention, a component having a part of functions of a component described in each aspect of the present invention, or a component performing a part of processing performed by a component described in each aspect of the present invention;

(6) With respect to the method implemented by the encoding device or the decoding device of embodiment 1, the processing corresponding to the processing described in each aspect of the present invention among the plurality of processing included in the method is replaced with the processing described in each aspect of the present invention;

(7) Some of the plurality of processes included in the method performed by the encoding device or the decoding device according to embodiment 1 are combined with the processes described in the respective aspects of the present invention.

the embodiments of the processing and/or configuration described in the embodiments of the present invention are not limited to the above examples. For example, the present invention may be implemented in a device used for a purpose different from that of the moving image/image encoding device or the moving image/image decoding device disclosed in embodiment 1, or the processes and/or configurations described in the respective embodiments may be implemented separately. Further, the processes and/or structures described in the different embodiments may be combined and implemented.

[ overview of encoding apparatus ]

First, an outline of the coding apparatus according to embodiment 1 will be described. Fig. 1 is a block diagram showing a functional configuration of an encoding device 100 according to embodiment 1. The encoding apparatus 100 is a moving image/image encoding apparatus that encodes moving images/images in units of blocks.

As shown in fig. 1, the encoding device 100 is a device that encodes an image in units of blocks, and includes a dividing unit 102, a subtracting unit 104, a transforming unit 106, a quantizing unit 108, an entropy encoding unit 110, an inverse quantizing unit 112, an inverse transforming unit 114, an adding unit 116, a block memory 118, a loop filtering unit 120, a frame memory 122, an intra-prediction unit 124, an inter-prediction unit 126, and a prediction control unit 128.

The encoding device 100 is implemented by, for example, a general-purpose processor and a memory. In this case, when the software program stored in the memory is executed by the processor, the processor functions as the dividing unit 102, the subtracting unit 104, the transforming unit 106, the quantizing unit 108, the entropy encoding unit 110, the inverse quantizing unit 112, the inverse transforming unit 114, the adding unit 116, the loop filtering unit 120, the intra prediction unit 124, the inter prediction unit 126, and the prediction control unit 128. The encoding device 100 may be implemented as 1 or more dedicated electronic circuits corresponding to the dividing unit 102, the subtracting unit 104, the transforming unit 106, the quantizing unit 108, the entropy encoding unit 110, the inverse quantizing unit 112, the inverse transforming unit 114, the adding unit 116, the loop filtering unit 120, the intra-prediction unit 124, the inter-prediction unit 126, and the prediction control unit 128.

Hereinafter, each component included in the encoding device 100 will be described.

[ division part ]

The dividing unit 102 divides each picture included in the input moving image into a plurality of blocks, and outputs each block to the subtracting unit 104. For example, the divider 102 first divides a picture into blocks of a fixed size (e.g., 128 × 128). This fixed size block is sometimes referred to as a Code Tree Unit (CTU). The dividing unit 102 divides each block of a fixed size into blocks of variable sizes (for example, 64 × 64 or less) based on recursive quadtree (quadtree) and/or binary tree (binary tree) block division. This variable-size block may be referred to as a Coding Unit (CU), a Prediction Unit (PU), or a Transform Unit (TU). In the present embodiment, it is not necessary to distinguish the CU, PU, and TU, and a part or all of the blocks in the picture may be used as the processing unit of the CU, PU, and TU.

Fig. 2 is a diagram showing an example of block division according to embodiment 1. In fig. 2, a solid line indicates a block boundary based on the quad-tree block division, and a dotted line indicates a block boundary based on the binary-tree block division.

Here, the block 10 is a square block of 128 × 128 pixels (128 × 128 block). The 128 × 128 block 10 is first divided into 4 square 64 × 64 blocks (quad-tree block division).

the upper left 64 × 64 block is then vertically divided into 2 rectangular 32 × 64 blocks, and the left 32 × 64 block is then vertically divided into 2 rectangular 16 × 64 blocks (binary tree block division). As a result, the upper left 64 × 64 block is divided into 216 × 64 blocks 11, 12, and 32 × 64 block 13.

The upper right 64 × 64 block is horizontally divided into 2 rectangular 64 × 32 blocks 14, 15 (binary tree block division).

The lower left 64 × 64 block is divided into 4 square 32 × 32 blocks (quad-tree block division). The upper left block and the lower right block of the 4 32 × 32 blocks are further divided. The upper left 32 × 32 block is vertically divided into 2 rectangular 16 × 32 blocks, and the right 16 × 32 block is horizontally divided into 216 × 16 blocks (binary tree block division). The lower right 32 × 32 block is horizontally divided into 232 × 16 blocks (binary tree block division). As a result, the lower left 64 block is divided into 16 × 32 blocks 16, 216 × 16 blocks 17, 18, 232 × 32 blocks 19, 20, and 232 × 16 blocks 21, 22.

The lower right 64 x 64 block 23 is not partitioned.

As described above, in fig. 2, the block 10 is divided into 13 variable-size blocks 11 to 23 by recursive quadtree and binary tree block division. Such a partition is sometimes called a QTBT (quad-tree plus binary tree) partition.

In fig. 2, 1 block is divided into 4 or 2 blocks (quad tree or binary tree block division), but the division is not limited thereto. For example, 1 block may be divided into 3 blocks (ternary tree division). A partition including such a ternary tree partition is sometimes called an MBT (multi type tree) partition.

[ subtracting section ]

The subtracting unit 104 subtracts the prediction signal (prediction sample) from the original signal (original sample) in block units divided by the dividing unit 102. That is, the subtraction unit 104 calculates a prediction error (also referred to as a residual) of a block to be encoded (hereinafter, referred to as a current block). The subtraction unit 104 then outputs the calculated prediction error to the conversion unit 106.

The original signal is an input signal to the encoding apparatus 100, and is a signal (for example, a luminance (luma) signal and 2 color difference (chroma) signals) representing an image of each picture constituting a moving image. Hereinafter, a signal representing an image may be also referred to as a sample.

[ converting part ]

The transform unit 106 transforms the prediction error in the spatial domain into a transform coefficient in the frequency domain, and outputs the transform coefficient to the quantization unit 108. Specifically, the transform unit 106 performs, for example, Discrete Cosine Transform (DCT) or Discrete Sine Transform (DST) set in advance on the prediction error in the spatial domain.

The transform unit 106 may adaptively select a transform type from among a plurality of transform types, and transform the prediction error into a transform coefficient using a transform basis function (transform basis function) corresponding to the selected transform type. Such a transform may be called an EMT (explicit multiple core transform) or an AMT (adaptive multiple transform).

the plurality of transform types includes, for example, DCT-II, DCT-V, DCT-VIII, DST-I, and DST-VII. Fig. 3 is a table showing transformation basis functions corresponding to respective transformation types. In fig. 3, N denotes the number of input pixels. The selection of a transform type from among these multiple transform types may depend on, for example, the type of prediction (intra prediction and inter prediction) or the intra prediction mode.

Information indicating whether such EMT or AMT is applied (e.g., referred to as AMT flag) and information indicating the selected transform type are signaled at CU level. The signaling of the information is not necessarily limited to the CU level, and may be at another level (for example, a sequence level, a picture level, a slice level, a tile level, or a CTU level).

The transform unit 106 may perform a retransformation of the transform coefficient (transform result). Such a retransformation may be referred to as AST (adaptive secondary transform) or NSST (non-separable secondary transform). For example, the transform unit 106 performs re-transform on each sub-block (for example, 4 × 4 sub-blocks) included in a block of transform coefficients corresponding to an intra prediction error. Information indicating whether NSST is applied and information on a transform matrix used in NSST are signaled at the CU level. The signaling of the information is not necessarily limited to the CU level, and may be at another level (for example, a sequence level, a picture level, a slice level, a tile level, or a CTU level).

Here, Separable conversion refers to a system of performing conversion a plurality of times by separating in each direction as much as the number of dimensions of the input, and Non-Separable conversion refers to a system of performing conversion collectively by regarding 2 or more dimensions as 1 dimension when the input is multidimensional.

For example, as 1 example of the Non-Separable transform, a method may be mentioned in which when a 4 × 4 block is input, the block is regarded as one permutation having 16 elements, and the permutation is subjected to transform processing using a 16 × 16 transform matrix.

Similarly, a scheme (Hypercube Givens Transform) in which a 4 × 4 input block is regarded as one permutation having 16 elements and then Givens rotation is performed on the permutation a plurality of times is also an example of Non-Separable conversion.

[ quantifying section ]

the quantization unit 108 quantizes the transform coefficient output from the transform unit 106. Specifically, the quantization unit 108 scans the transform coefficient of the current block in a predetermined scanning order and quantizes the transform coefficient based on a Quantization Parameter (QP) corresponding to the scanned transform coefficient. The quantization unit 108 outputs the quantized transform coefficient (hereinafter, referred to as a quantization coefficient) of the current block to the entropy coding unit 110 and the inverse quantization unit 112.

The prescribed order is an order for quantization/inverse quantization of the transform coefficients. For example, the predetermined scanning order is defined in ascending order (order from low frequency to high frequency) or descending order (order from high frequency to low frequency) of the frequency.

The quantization parameter refers to a parameter that defines a quantization step (quantization width). For example, if the value of the quantization parameter increases, the quantization step size also increases. That is, if the value of the quantization parameter increases, the quantization error increases.

[ entropy encoding part ]

The entropy encoding unit 110 generates an encoded signal (encoded bit stream) by variable-length encoding the quantized coefficients input from the quantization unit 108. Specifically, the entropy encoding unit 110 binarizes the quantized coefficient, for example, and arithmetically encodes the binary signal.

[ inverse quantization part ]

the inverse quantization unit 112 inversely quantizes the quantization coefficient which is input from the quantization unit 108. Specifically, the inverse quantization unit 112 inversely quantizes the quantized coefficients of the current block in a predetermined scanning order. Then, the inverse quantization unit 112 outputs the inverse-quantized transform coefficient of the current block to the inverse transform unit 114.

[ inverse transformation section ]

The inverse transform unit 114 performs inverse transform on the transform coefficient input from the inverse quantization unit 112 to restore the prediction error. Specifically, the inverse transform unit 114 performs inverse transform corresponding to the transform performed by the transform unit 106 on the transform coefficient, thereby restoring the prediction error of the current block. The inverse transform unit 114 outputs the restored prediction error to the addition unit 116.

The restored prediction error loses information by quantization, and therefore does not match the prediction error calculated by the subtraction unit 104. That is, the prediction error after restoration includes a quantization error.

[ addition section ]

The addition section 116 reconstructs the current block by adding the prediction error, which is an input from the inverse transform section 114, to the prediction sample, which is an input from the prediction control section 128. The adder 116 outputs the reconstructed block to the block memory 118 and the loop filter 120. There are cases where the reconstructed block is called a native decoding block.

[ Block memory ]

The block memory 118 is a storage unit for storing a block in a picture to be encoded (hereinafter, referred to as a current picture) which is referred to in intra prediction. Specifically, the block memory 118 stores the reconstructed block output from the adder 116.

[ Cyclic Filter Unit ]

The loop filter unit 120 applies loop filtering to the block reconstructed by the adder unit 116, and outputs the filtered reconstructed block to the frame memory 122. The loop filtering refers to filtering (in-loop filtering) used in an encoding loop, and includes, for example, Deblocking Filtering (DF), Sample Adaptive Offset (SAO), Adaptive Loop Filtering (ALF), and the like.

In the ALF, a least square error filter for removing coding distortion is used, and for example, 1 filter selected from a plurality of filters based on the direction and activity (activity) of a local gradient (gradient) is used for each 2 × 2 sub-block in a current block.

Specifically, first, sub-blocks (e.g., 2 × 2 sub-blocks) are classified into a plurality of classes (e.g., 15 or 25 classes). The sub-blocks are classified based on the direction of the gradient and the activity. For example, the classification value C (e.g., C ═ 5D + a) is calculated using the direction value D (e.g., 0 to 2 or 0 to 4) of the gradient and the activity value a (e.g., 0 to 4) of the gradient. And, the sub-blocks are classified into a plurality of classes (e.g., 15 or 25 classes) based on the classification value C.

The direction value D of the gradient is derived, for example, by comparing the gradients in a plurality of directions (e.g., horizontal, vertical, and 2 diagonal directions). The activity value a of the gradient is derived by, for example, adding the gradients in a plurality of directions and quantifying the addition result.

Based on the result of such classification, a filter for a sub-block is decided from among a plurality of filters.

As the shape of the filter used in the ALF, for example, a circularly symmetric shape is used. Fig. 4A to 4C are diagrams showing a plurality of examples of the shape of a filter used in the ALF. Fig. 4A shows a 5 × 5 diamond shaped filter, fig. 4B shows a 7 × 7 diamond shaped filter, and fig. 4C shows a 9 × 9 diamond shaped filter. Information representing the shape of the filter is signaled at the picture level. The signaling of the information indicating the shape of the filter is not necessarily limited to the picture level, and may be at another level (for example, the sequence level, slice level, tile level, CTU level, or CU level).

The turning on/off of the ALF is determined, for example, at the picture level or CU level. For example, regarding luminance, it is decided whether or not ALF is used at CU level, and regarding color difference, it is decided whether or not ALF is used at picture level. Information indicating on/off of the ALF is signaled at a picture level or a CU level. The signaling of the information indicating the turning on/off of the ALF is not necessarily limited to the picture level or the CU level, and may be other levels (for example, the sequence level, the slice level, the tile level, or the CTU level).

The coefficient sets of a selectable plurality of filters (e.g., up to 15 or 25 filters) are signaled at the picture level. The signaling of the coefficient set is not necessarily limited to the picture level, and may be at other levels (for example, a sequence level, a slice level, a tile level, a CTU level, a CU level, or a sub-block level).

[ frame memory ]

The frame memory 122 is a storage unit for storing reference pictures used for inter-frame prediction, and may be referred to as a frame buffer. Specifically, the frame memory 122 stores the reconstructed block filtered by the loop filter unit 120.

[ Intra prediction Unit ]

The intra prediction unit 124 performs intra prediction (also referred to as intra prediction) of the current block with reference to the block in the current picture stored in the block memory 118, thereby generating a prediction signal (intra prediction signal). Specifically, the intra prediction unit 124 performs intra prediction by referring to samples (for example, luminance values and color difference values) of blocks adjacent to the current block to generate an intra prediction signal, and outputs the intra prediction signal to the prediction control unit 128.

For example, the intra prediction unit 124 performs intra prediction using 1 of a plurality of predetermined intra prediction modes. The plurality of intra prediction modes include 1 or more non-directional prediction modes and a plurality of directional prediction modes.

The 1 or more non-directional prediction modes include, for example, a Planar prediction mode and a DC prediction mode defined in the h.265/HEVC (High-Efficiency Video Coding) specification (non-patent document 1).

The plurality of directional prediction modes includes, for example, 33 directional prediction modes specified by the h.265/HEVC specification. The plurality of directional prediction modes may include prediction modes in 32 directions (65 directional prediction modes in total) in addition to 33 directions. Fig. 5A is a diagram showing 67 intra prediction modes (2 non-directional prediction modes and 65 directional prediction modes) in intra prediction. The solid arrows indicate 33 directions defined by the h.265/HEVC specification, and the dashed arrows indicate the additional 32 directions.

In the intra prediction of the color difference block, the luminance block may be referred to. That is, the color difference component of the current block may also be predicted based on the luminance component of the current block. Such intra-frame prediction is sometimes called CCLM (cross-component linear model) prediction. The intra prediction mode (for example, referred to as CCLM mode) of the color difference block of the reference luminance block may be added as 1 intra prediction mode of the color difference block.

The intra prediction unit 124 may correct the pixel value after intra prediction based on the gradient of the reference pixel in the horizontal/vertical direction. The intra prediction associated with such correction is sometimes called PDPC (position dependent prediction combination). Information indicating whether PDPC is used or not (for example, referred to as a PDPC flag) is signaled, for example, on the CU level. The signaling of the information is not necessarily limited to the CU level, and may be at another level (for example, a sequence level, a picture level, a slice level, a tile level, or a CTU level).

[ interframe prediction part ]

The inter prediction unit 126 performs inter prediction (also referred to as inter prediction) of the current block with reference to a reference picture different from the current picture stored in the frame memory 122, thereby generating a prediction signal (inter prediction signal). Inter prediction is performed in units of a current block or a subblock (e.g., a 4 × 4 block) within the current block. For example, the inter prediction unit 126 performs motion estimation (motion estimation) on the current block or the sub-block within the reference picture. The inter prediction unit 126 performs motion compensation using motion information (e.g., a motion vector) obtained by motion estimation, and generates an inter prediction signal of the current block or sub-block. The inter prediction unit 126 then outputs the generated inter prediction signal to the prediction control unit 128.

The motion information used in motion compensation is signaled. A predictive motion vector predictor (motion vector predictor) may also be used for the signaling of motion vectors. That is, the difference between the motion vector and the prediction motion vector may be signaled.

In addition, the inter prediction signal may be generated using not only the motion information of the current block obtained through motion estimation but also the motion information of the neighboring blocks. Specifically, the inter prediction signal may be generated in units of sub blocks within the current block by performing weighted addition of a prediction signal based on motion information obtained by motion estimation and a prediction signal based on motion information of an adjacent block. Such inter-frame prediction (motion compensation) is sometimes called OBMC (overlapped block motion compensation).

In such an OBMC mode, information indicating the size of a sub-block used for OBMC (for example, referred to as an OBMC block size) is signaled at a sequence level. Further, information indicating whether the OBMC mode is adopted (for example, referred to as an OBMC flag) is signaled at the CU level. The level of signaling of such information is not necessarily limited to the sequence level and CU level, and may be other levels (for example, picture level, slice level, tile level, CTU level, or sub-block level).

The OBMC mode will be explained more specifically. Fig. 5B and 5C are a flowchart and a conceptual diagram for explaining an outline of the predicted image correction processing performed by the OBMC processing.

First, a prediction image (Pred) obtained by normal motion compensation is acquired using a Motion Vector (MV) assigned to a block to be encoded.

Next, a predicted image (Pred _ L) is obtained for the block to be encoded using the motion vector (MV _ L) of the left adjacent block that has been encoded, and the predicted image and Pred _ L are superimposed by weighting, thereby performing the 1 st correction of the predicted image.

Similarly, a predicted image (Pred _ U) is obtained for the block to be encoded using the motion vector (MV _ U) of the encoded adjacent block, and the predicted image subjected to the 1 st correction and Pred _ U are weighted and superimposed to perform the 2 nd correction of the predicted image, thereby obtaining the final predicted image.

In addition, although the method of performing two-stage correction using the left adjacent block and the upper adjacent block is described here, the correction may be performed more times than two stages using the right adjacent block and the lower adjacent block.

The region to be superimposed may be not the entire pixel region of the block but only a partial region in the vicinity of the block boundary.

In addition, although the predicted image correction processing based on 1 reference picture is described here, the same applies to the case where the predicted image is corrected based on a plurality of reference pictures, and the corrected predicted images are acquired from the respective reference pictures and then the acquired predicted images are further superimposed to form the final predicted image.

the target block may be a prediction block unit, or may be a sub-block unit obtained by dividing a prediction block.

As a method of determining whether or not OBMC processing is employed, for example, a method of using an OBMC _ flag which is a signal indicating whether or not OBMC processing is employed. As a specific example, the encoding apparatus determines whether or not the block to be encoded belongs to a region with a complicated motion, sets a value of 1 as the OBMC _ flag and encodes the block by the OBMC process when the block belongs to the region with a complicated motion, and sets a value of 0 as the OBMC _ flag and encodes the block without the OBMC process when the block does not belong to the region with a complicated motion. On the other hand, the decoding device decodes the OBMC _ flag described in the stream, and switches whether or not to perform OBMC processing according to the value of the OBMC _ flag, thereby performing decoding.

In addition, the motion information may not be converted into a signal, but may be derived by the decoding apparatus. For example, the merge mode specified by the H.265/HEVC specification may also be used. Further, for example, motion information may be derived by performing motion estimation on the decoding apparatus side. In this case, motion estimation is performed without using pixel values of the current block.

Here, a mode in which motion estimation is performed on the decoding apparatus side will be described. The mode for performing motion estimation on the decoding apparatus side is called a PMMVD (pattern matched motion vector derivation) mode or a FRUC (frame rate up-conversion) mode.

Fig. 5D shows an example of FRUC processing. First, a list (which may be shared by a merge list) of a plurality of candidates each having a predicted motion vector is generated with reference to a motion vector of an encoded block spatially or temporally adjacent to the current block. Next, the best candidate MV is selected from among the plurality of candidate MVs registered in the candidate list. For example, the evaluation value of each candidate included in the candidate list is calculated, and 1 candidate is selected based on the evaluation values.

And deriving a motion vector for the current block based on the selected candidate motion vector. Specifically, for example, the motion vector of the selected candidate (best candidate MV) is derived as it is as a motion vector for the current block. Further, for example, the motion vector for the current block may be derived by performing pattern matching in a peripheral region of a position in the reference picture corresponding to the selected candidate motion vector. That is, the neighboring area of the optimal candidate MV may be searched by the same method, and when there is an MV having a better evaluation value, the optimal candidate MV may be updated to the MV and set as the final MV of the current block. Further, the process may not be performed.

the same processing may be performed in the case of performing processing in units of sub blocks.

The evaluation value is calculated by obtaining a difference value of the reconstructed image by pattern matching between a region in the reference picture corresponding to the motion vector and a predetermined region. In addition, the evaluation value may be calculated using information other than the difference value.

As the pattern matching, the 1 st pattern matching or the 2 nd pattern matching is used. The pattern 1 matching and the pattern 2 matching are called bidirectional matching (binary matching) and template matching (template matching), respectively.

In the 1 st pattern matching, pattern matching is performed between 2 blocks along a motion track (motion track) of the current block within different 2 reference pictures. Thus, in the 1 st pattern matching, as the predetermined region for calculation of the evaluation value of the candidate described above, a region within another reference picture along the motion trajectory of the current block is used.

Fig. 6 is a diagram for explaining an example of pattern matching (bidirectional matching) between 2 blocks along a motion trajectory. As shown in fig. 6, in the 1 st pattern matching, 2 motion vectors (MV0, MV1) are derived by searching for the most matched pair among pairs of 2 blocks along the motion trajectory of the current block (Cur block) and 2 blocks within different 2 reference pictures (Ref0, Ref 1). Specifically, for the current block, a difference between the reconstructed image at the specified position in the 1 st encoded reference picture (Ref0) specified by the candidate MV and the reconstructed image at the specified position in the 2 nd encoded reference picture (Ref1) specified by the symmetric MV obtained by scaling the candidate MV at the display time interval is derived, and the evaluation value is calculated using the obtained difference value. The candidate MV having the best evaluation value among the plurality of candidate MVs may be selected as the final MV.

Under the assumption of a continuous motion trajectory, the motion vectors (MV0, MV1) indicating the 2 reference blocks are proportional with respect to the temporal distance (TD0, TD1) between the current picture (Cur Pic) and the 2 reference pictures (Ref0, Ref 1). For example, when the current picture is temporally located between 2 reference pictures and the temporal distances from the current picture to the 2 reference pictures are equal, the 1 st pattern matching derives the two-directional motion vectors that are mirror-symmetric.

In the 2 nd pattern matching, pattern matching is performed between a template within the current picture, a block adjacent to the current block within the current picture (e.g., an upper and/or left adjacent block), and a block within the reference picture. Thus, in the 2 nd pattern matching, as the prescribed region for calculation of the evaluation value of the candidate described above, a block adjacent to the current block within the current picture is used.

Fig. 7 is a diagram for explaining an example of pattern matching (template matching) between the template in the current picture and the block in the reference picture. As shown in fig. 7, in the 2 nd pattern matching, a motion vector of the current block is derived by searching for a block within the reference picture (Ref0) that best matches a block adjacent to the current block (Cur block) within the current picture (Cur Pic). Specifically, the difference between the reconstructed image of the encoded region of either or both of the left-adjacent region and the top-adjacent region and the reconstructed image at the same position in the encoded reference picture (Ref0) specified by the candidate MV is derived for the current block, the evaluation value is calculated using the obtained difference value, and the candidate MV having the best evaluation value among the plurality of candidate MVs is selected as the best candidate MV.

such information indicating whether FRUC mode is employed (e.g., referred to as a FRUC flag) is signaled at the CU level. In addition, when the FRUC mode is employed (for example, when the FRUC flag is true), information (for example, referred to as a FRUC mode flag) indicating a method of pattern matching (1 st pattern matching or 2 nd pattern matching) is signaled on the CU level. The signaling of the information is not necessarily limited to the CU level, and may be at another level (for example, a sequence level, a picture level, a slice level, a tile level, a CTU level, or a sub-block level).

Here, a mode in which a motion vector is derived based on a model assuming constant-velocity linear motion is explained. This mode is sometimes called a BIO (bi-directional optical flow).

Fig. 8 is a diagram for explaining a model assuming constant-velocity linear motion. In FIG. 8, (v)_x，v_y) Representing velocity vector, τ₀、τ₁Respectively representing a current picture (Cur Pic) and 2 reference pictures (Ref)₀，Ref₁) The distance in time between. (MVx)₀，MVy₀) Presentation and reference pictures Ref₀Corresponding motion vector, (MVx)₁，MVy₁) Presentation and reference pictures Ref₁The corresponding motion vector.

at this time, at the velocity vector (v)_x，v_y) Under the assumption of constant linear motion of (MVx)₀，MVy₀) And (MVx)₁，MVy₁) Are respectively represented as (v)_xτ₀，v_yτ₀) And (-v)_xτ₁，－v_yτ₁) The following optical flow equation (1) holds.

[ numerical formula 1]

Here, I^(k)The luminance value of the reference image k (k is 0 or 1) after motion compensation is shown. The optical flow equation represents that the sum of (i) the temporal differential of the luminance values, (ii) the product of the velocity in the horizontal direction and the horizontal component of the spatial gradient of the reference image, and (iii) the product of the velocity in the vertical direction and the vertical component of the spatial gradient of the reference image is equal to zero. Based on a combination of the optical flow equation and Hermite interpolation (Hermite interpolation), a motion vector in block units obtained from a merge list or the like is corrected in pixel units.

Further, the motion vector may be derived on the decoding apparatus side by a method different from the derivation of the motion vector based on the model assuming the constant velocity linear motion. For example, the motion vector may be derived in units of sub-blocks based on the motion vectors of a plurality of adjacent blocks.

Here, a mode in which a motion vector is derived in units of sub-blocks based on motion vectors of a plurality of adjacent blocks will be described. This mode is sometimes referred to as an affine motion compensation prediction (affine motion compensation prediction) mode.

Fig. 9A is a diagram for explaining derivation of a motion vector in units of sub-blocks based on motion vectors of a plurality of adjacent blocks. In fig. 9A, the current block includes 16 4 × 4 sub-blocks. Here, a motion vector v of the upper left control point of the current block is derived based on the motion vectors of the neighboring blocks₀Deriving a motion vector v for the top-right control point of the current block based on the motion vectors of the neighboring sub-blocks₁. And, 2 motion vectors v are used₀And v₁The motion vector (v) of each sub-block in the current block is derived by the following equation (2)_x，v_y)。

[ numerical formula 2]

Here, x and y represent the horizontal position and the vertical position of the subblock, respectively, and w represents a preset weight coefficient.

Such affine motion compensation prediction modes may include several modes in which the methods of deriving the motion vectors for the upper left and upper right corner control points are different. Information representing such affine motion compensated prediction modes (e.g. called affine flags) is signaled at the CU level. The signaling of the information indicating the affine motion compensation prediction mode is not necessarily limited to the CU level, and may be at another level (for example, a sequence level, a picture level, a slice level, a tile level, a CTU level, or a sub-block level).

[ prediction control section ]

The prediction control unit 128 selects either one of the intra prediction signal and the inter prediction signal, and outputs the selected signal to the subtraction unit 104 and the addition unit 116 as a prediction signal.

Here, an example of deriving a motion vector of a picture to be encoded in the merge mode will be described. Fig. 9B is a diagram for explaining an outline of the motion vector derivation process by the merge mode.

First, a predicted MV list in which candidates of predicted MVs are registered is generated. The candidates for the prediction MV include a spatial neighboring prediction MV which is an MV possessed by a plurality of coded blocks spatially located in the periphery of the coding target block, a temporal neighboring prediction MV which is an MV possessed by a block near the position of the coding target block in the coded reference picture, a combined prediction MV which is an MV generated by combining the spatial neighboring prediction MV and the MV value of the temporal neighboring prediction MV, and a zero prediction MV which is an MV having a value of zero.

Next, 1 predicted MV is selected from among the plurality of predicted MVs registered in the predicted MV list, and the MV of the encoding target block is determined.

Further, the variable length encoding unit encodes a merge _ idx, which is a signal indicating which predicted MV has been selected, by describing the merge _ idx in the stream.

The predicted MVs registered in the predicted MV list described in fig. 9B are examples, and the number of predicted MVs may be different from the number of predicted MVs in the figure, or the predicted MVs may be configured not to include some types of predicted MVs in the figure, or may be configured to add predicted MVs other than the types of predicted MVs in the figure.

Further, the final MV may be determined by performing DMVR processing described later using the MV of the encoding target block derived in the merge mode.

here, an example of determining an MV using DMVR processing will be described.

fig. 9C is a conceptual diagram for explaining an outline of DMVR processing.

First, the optimal MVP set for the processing target block is set as a candidate MV, and reference pixels are acquired from the 1 st reference picture, which is a processed picture in the L0 direction, and the 2 nd reference picture, which is a processed picture in the L1 direction, in accordance with the candidate MV, and a template is generated by averaging the reference pixels.

Next, using the template, the neighboring regions of the MV candidates in the 1 st reference picture and the 2 nd reference picture are searched, and the MV with the lowest cost is determined as the final MV. The cost value is calculated using a difference value between each pixel value of the template and each pixel value of the search area, an MV value, and the like.

In addition, the encoding device and the decoding device basically share the outline of the processing described here.

Note that other processing may be used as long as it is processing that can search the periphery of the candidate MV and derive the final MV, rather than the processing itself described here.

Here, a mode of generating a prediction image using LIC processing will be described.

Fig. 9D is a diagram for explaining an outline of a predicted image generation method using luminance correction processing by LIC processing.

First, an MV for acquiring a reference image corresponding to a block to be encoded from a reference picture that is an already encoded picture is derived.

Next, for the encoding target block, information indicating how the luminance value changes in the reference picture and the encoding target picture is extracted using the luminance pixel values of the left-adjacent and top-adjacent encoded peripheral reference regions and the luminance pixel value at the same position in the reference picture specified by the MV, and the luminance correction parameter is calculated.

The reference image in the reference picture specified by the MV is subjected to a luminance correction process using the luminance correction parameter, thereby generating a predicted image for the block to be encoded.

The shape of the peripheral reference region in fig. 9D is an example, and other shapes may be used.

Although the process of generating the predicted image from 1 reference picture is described here, the same applies to the case of generating the predicted image from a plurality of reference pictures, and the predicted image is generated after performing the luminance correction process on the reference images acquired from the respective reference pictures in the same manner.

as a method of determining whether or not the LIC processing is employed, for example, there is a method of using LIC _ flag which is a signal indicating whether or not the LIC processing is employed. As a specific example, the encoding apparatus determines whether or not the block to be encoded belongs to an area in which a luminance change has occurred, and encodes the block by LIC processing as LIC _ flag if the block belongs to the area in which the luminance change has occurred, and sets value 1 as LIC _ flag if the block does not belong to the area in which the luminance change has occurred, and encodes the block without LIC processing if the block is set to value 0. On the other hand, the decoding device decodes LIC _ flag described in the stream, and switches whether or not to perform the LIC processing according to the value of the flag.

As another method of determining whether or not the LIC processing is used, for example, a method of determining whether or not the LIC processing is used in the peripheral blocks is available. As a specific example, when the block to be encoded is in the merge mode, it is determined whether or not the neighboring encoded blocks selected at the time of deriving the MV in the merge mode process are encoded by the LIC process, and based on the result, whether or not the encoding is performed by the LIC process is switched. In this example, the same processing is performed in decoding.

[ overview of decoding apparatus ]

Next, an outline of a decoding apparatus capable of decoding the encoded signal (encoded bit stream) output from the encoding apparatus 100 will be described. Fig. 10 is a block diagram showing a functional configuration of decoding apparatus 200 according to embodiment 1. The decoding apparatus 200 is a moving picture/image decoding apparatus that decodes moving pictures/images in units of blocks.

As shown in fig. 10, the decoding device 200 includes an entropy decoding unit 202, an inverse quantization unit 204, an inverse transformation unit 206, an addition unit 208, a block memory 210, a loop filtering unit 212, a frame memory 214, an intra prediction unit 216, an inter prediction unit 218, and a prediction control unit 220.

the decoding apparatus 200 is realized by, for example, a general-purpose processor and a memory. In this case, when the software program stored in the memory is executed by the processor, the processor functions as the entropy decoding unit 202, the inverse quantization unit 204, the inverse transform unit 206, the addition unit 208, the loop filter unit 212, the intra prediction unit 216, the inter prediction unit 218, and the prediction control unit 220. The decoding device 200 may be realized as 1 or more dedicated electronic circuits corresponding to the entropy decoding unit 202, the inverse quantization unit 204, the inverse transform unit 206, the addition unit 208, the loop filter unit 212, the intra prediction unit 216, the inter prediction unit 218, and the prediction control unit 220.

Each component included in the decoding apparatus 200 will be described below.

[ entropy decoding section ]

The entropy decoding unit 202 entropy-decodes the encoded bit stream. Specifically, the entropy decoding unit 202 performs arithmetic decoding from the encoded bit stream into a binary signal, for example. Next, the entropy decoding unit 202 performs multi-quantization (deblocking) on the binary signal. In this way, the entropy decoding unit 202 outputs the quantized coefficients to the inverse quantization unit 204 in units of blocks.

[ inverse quantization part ]

The inverse quantization unit 204 inversely quantizes the quantized coefficient of the decoding target block (hereinafter referred to as the current block) input from the entropy decoding unit 202. Specifically, the inverse quantization unit 204 inversely quantizes the quantization coefficient of the current block based on the quantization parameter corresponding to the quantization coefficient. Then, the inverse quantization unit 204 outputs the quantized coefficient (i.e., transform coefficient) of the current block after inverse quantization to the inverse transform unit 206.

[ inverse transformation section ]

The inverse transform unit 206 performs inverse transform on the transform coefficient input from the inverse quantization unit 204 to restore the prediction error.

For example, when the information read out from the encoded bitstream indicates that EMT or AMT is used (for example, the AMT flag is true), the inverse transform unit 206 inversely transforms the transform coefficient of the current block based on the read out information indicating the transform type.

For example, when the information read out from the encoded bit stream indicates that NSST is used, the inverse transform unit 206 applies inverse retransformation to the transform coefficients.

[ addition section ]

The addition unit 208 reconstructs the current block by adding the prediction error, which is input from the inverse transform unit 206, to the prediction sample, which is input from the prediction control unit 220. The adder 208 then outputs the reconstructed block to the block memory 210 and the loop filter 212.

[ Block memory ]

The block memory 210 is a storage unit for storing a block in a picture to be decoded (hereinafter, referred to as a current picture) which is referred to in intra prediction. Specifically, the block memory 210 stores the reconstructed block output from the adder 208.

[ Cyclic Filter Unit ]

The loop filter unit 212 applies loop filtering to the block reconstructed by the adder unit 208, and outputs the filtered reconstructed block to the frame memory 214, the display device, and the like.

When the information indicating on/off of the ALF read from the encoded bit stream indicates on of the ALF, 1 filter is selected from the plurality of filters based on the direction and activity of the local gradient, and the selected filter is applied to the reconstructed block.

[ frame memory ]

the frame memory 214 is a storage unit for storing reference pictures used for inter-frame prediction, and may be referred to as a frame buffer. Specifically, the frame memory 214 stores the reconstructed block filtered by the loop filter unit 212.

[ Intra prediction Unit ]

The intra prediction unit 216 generates a prediction signal (intra prediction signal) by performing intra prediction with reference to a block in the current picture stored in the block memory 210 based on the intra prediction mode read from the coded bit stream. Specifically, the intra prediction unit 216 generates an intra prediction signal by performing intra prediction with reference to samples (for example, luminance values and color difference values) of a block adjacent to the current block, and outputs the intra prediction signal to the prediction control unit 220.

In addition, when the intra prediction mode of the reference luminance block is selected in the intra prediction of the color difference block, the intra prediction unit 216 may predict the color difference component of the current block based on the luminance component of the current block.

When the information read from the encoded bit stream indicates the use of PDPC, the intra prediction unit 216 corrects the pixel value after intra prediction based on the gradient of the reference pixel in the horizontal/vertical direction.

[ interframe prediction part ]

The inter prediction unit 218 predicts the current block with reference to the reference picture stored in the frame memory 214. Prediction is performed in units of a current block or a subblock (e.g., a 4 × 4 block) within the current block. For example, the inter prediction unit 218 performs motion compensation using motion information (e.g., a motion vector) read from the encoded bitstream, generates an inter prediction signal of the current block or sub-block, and outputs the inter prediction signal to the prediction control unit 220.

in addition, when the information read out from the encoded bitstream indicates that the OBMC mode is adopted, the inter prediction unit 218 generates an inter prediction signal using not only the motion information of the current block obtained by motion estimation but also the motion information of the neighboring block.

when the information read from the encoded bit stream indicates that the FRUC mode is adopted, the inter-frame prediction unit 218 derives motion information by performing motion estimation by a pattern matching method (bidirectional matching or template matching) read from the encoded bit stream. Then, the inter prediction unit 218 performs motion compensation using the derived motion information.

When the BIO mode is adopted, the inter-frame prediction unit 218 derives a motion vector based on a model assuming constant-velocity linear motion. Further, in the case where the information read out from the encoded bitstream indicates that the affine motion compensation prediction mode is adopted, the inter prediction section 218 derives a motion vector in a sub-block unit based on the motion vectors of the plurality of adjacent blocks.

[ prediction control section ]

The prediction control unit 220 selects either one of the intra prediction signal and the inter prediction signal, and outputs the selected signal to the adder 208 as a prediction signal.

(embodiment mode 2)

Next, embodiment 2 will be explained. The present embodiment relates to inter prediction in a so-called BIO mode. The present embodiment is different from embodiment 1 in that the motion vector in block units is corrected not in pixel units but in sub-block units. The present embodiment will be described below mainly focusing on differences from embodiment 1.

the configurations of the encoding device and the decoding device according to this embodiment are substantially the same as those of embodiment 1, and therefore, illustration and description thereof are omitted.

[ inter prediction ]

Fig. 11 is a flowchart showing inter prediction in embodiment 2. Fig. 12 is a conceptual diagram for explaining inter prediction in embodiment 2. The following processing is performed by the inter prediction unit 126 of the encoding device 100 or the inter prediction unit 218 of the decoding device 200.

as shown in fig. 11, first, loop processing is performed on a plurality of blocks in a picture to be encoded/decoded (current picture 1000) in units of blocks (S101 to S111). In fig. 12, an encoding/decoding object block is selected from a plurality of blocks as a current block 1001.

In the loop processing in units of blocks, loop processing is performed on the processed pictures, i.e., the 1 st reference picture 1100(L0) and the 2 nd reference picture 1200(L1), in units of reference pictures (S102 to S106).

In the loop processing for the reference picture unit, first, a motion vector for obtaining a predicted image from the reference picture in block units is derived or obtained (S103). In fig. 12, the 1 st motion vector 1110(MV _ L0) is derived or acquired for the 1 st reference picture 1100, and the 2 nd motion vector 1210(MV _ L1) is derived or acquired for the 2 nd reference picture 1200. As a method of deriving a motion vector, an inter prediction mode, a merge mode, a FRUC mode, and the like are typical. For example, in the normal inter prediction mode, the encoding apparatus 100 derives a motion vector by motion search, and the decoding apparatus 200 acquires the motion vector from a bit stream.

Next, a predicted image is obtained from the reference picture by performing motion compensation using the derived or obtained motion vector (S104). In fig. 12, the 1 st predicted image 1140 is obtained from the 1 st reference picture 1100 by performing motion compensation using the 1 st motion vector 1110. Further, by performing motion compensation using the 2 nd motion vector 1210, the 2 nd predicted image 1240 is obtained from the 2 nd reference picture 1200.

In motion compensation, motion compensation filtering is applied to a reference picture. The motion compensation filtering is an interpolation filter for obtaining a prediction image with a sub-pixel accuracy. In the 1 st reference picture 1100 in fig. 12, the pixels of the 1 st interpolation reference range 1130 including the pixels of the 1 st prediction block 1120 and the pixels around the pixels are referred to by the motion compensation filtering of the 1 st prediction block 1120 specified by the 1 st motion vector 1110. In the reference picture 2 1200, the pixels in the interpolation reference range 2 1230 including the pixels of the prediction block 2 1220 and the pixels around the pixels are referred to by the motion compensation filtering of the prediction block 2 1220 specified by the motion vector 2 1210.

Further, the 1 st and 2 nd interpolation reference ranges 1130 and 1230 are included in the 1 st and 2 nd normal reference ranges, and the 1 st and 2 nd normal reference ranges are referred to for motion compensation of the current block 1001 in normal inter prediction in which processing using local motion estimation values is not performed. The 1 st normal reference range is included in the 1 st reference picture 1100, and the 2 nd normal reference range is included in the 2 nd reference picture 1200. In the normal inter prediction, for example, a motion vector is derived in a block unit by a motion search, motion compensation is performed in a block unit using the derived motion vector, and a motion-compensated image is directly used as a final predicted image. That is, in the normal inter prediction, the local motion estimation value is not used. The 1 st interpolation reference range 1130 and the 2 nd interpolation reference range 1230 may coincide with the 1 st normal reference range and the 2 nd normal reference range.

Next, a gradient image corresponding to the prediction image is acquired from the reference picture (S105). Each pixel of the gradient image has a gradient value representing the spatial slope of the luminance or color difference. The gradient values are obtained by applying gradient filtering to the reference picture. In the reference picture 1100 shown in fig. 1 of fig. 12, the pixels of the reference range 1135 with gradient 1 are referred to by the gradient filtering for the prediction block 1120 with gradient 1, and the pixels of the reference range 1135 with gradient 1 include the pixels of the prediction block 1120 and the pixels around the pixels. The 1 st slope reference range 1135 is included in the 1 st interpolation reference range 1130. In the reference picture 1200 of fig. 2, the gradient filtering refers to pixels in the 2 nd gradient reference range 1235, and the 2 nd gradient reference range 1235 includes pixels in the 2 nd prediction block 1220 and pixels in the periphery thereof. The 2 nd gradient reference range 1235 is included in the 2 nd interpolation reference range 1230.

When the acquisition of the predicted image and the gradient image from each of the 1 st reference picture and the 2 nd reference picture is completed, the loop processing for the reference picture unit is completed (S106). Then, a loop process is performed for each sub-block unit into which the block is further divided (S107 to S110). Each of the plurality of sub-blocks has a size (e.g., 4 × 4 pixel size) below the current block.

In the loop processing in units of sub-blocks, first, local motion estimation values 1300 of sub-blocks are derived using the 1 st predictive image 1140 and the 2 nd predictive image 1240 and the 1 st gradient image 1150 and the 2 nd gradient image 1250 acquired from the 1 st reference picture 1100 and the 2 nd reference picture 1200 (S108). For example, in each of the 1 st and 2 nd prediction images 1140 and 1240 and the 1 st and 2 nd gradient images 1150 and 1250, a local motion estimate 1300 is derived for the sub-block with reference to the pixels contained in the predictor block. The prediction sub-block refers to a region within the 1 st prediction block 1120 and the 2 nd prediction block 1220 corresponding to the sub-block within the current block 1001. Local motion estimates are sometimes also referred to as modified motion vectors.

Subsequently, the final prediction image 1400 of the subblock is generated using the pixel values of the 1 st prediction image 1140 and the 2 nd prediction image 1240, the gradient values of the 1 st gradient image 1150 and the 2 nd gradient image 1250, and the local motion estimation value 1300 (S109). If the generation of each final prediction image for the sub-block included in the current block is finished, the final prediction image for the current block is generated, and the loop processing in sub-block units is finished (S110).

Further, if the loop processing in block units is ended (S111), the processing of fig. 11 is ended.

Further, by directly allocating the motion vector of the current block in block units to each sub-block, it is possible to acquire a prediction image and acquire a gradient image in sub-block units.

[ reference ranges for motion compensation filtering and gradient filtering ]

Here, the reference ranges of the motion compensation filter and the gradient filter will be described.

Fig. 13 is a conceptual diagram for explaining an example of reference ranges of motion compensation filtering and gradient filtering in embodiment 2.

in fig. 13, each of a plurality of circles represents a pixel. In addition, in fig. 13, as an example, it is assumed that the size of the current block is 8 × 8 pixels and the size of the sub-block is 4 × 4 pixels.

The reference range 1131 indicates a reference range (e.g., a rectangular range of 8 × 8 pixels) of the motion compensation filtering applied to the upper-left pixel 1122 of the 1 st prediction block 1120. The reference range 1231 indicates a reference range (e.g., an 8 × 8 pixel rectangular range) of the motion compensation filtering applied to the upper-left pixel 1222 of the 2 nd prediction block 1220.

In addition, the reference range 1132 indicates a reference range (for example, a rectangular range of 6 × 6 pixels) of gradient filtering applied to the upper-left pixel 1122 of the 1 st prediction block 1120. The reference range 1232 indicates a reference range (e.g., a 6 × 6 pixel rectangular range) of the gradient filtering applied to the upper-left pixel 1222 of the 2 nd prediction block 1220.

The motion compensation filter and the gradient filter are also applied to other pixels in the 1 st prediction block 1120 and the 2 nd prediction block 1220 with reference to pixels in a reference range of the same size at positions corresponding to the positions of the pixels. As a result, the pixels in the 1 st interpolation reference range 1130 and the 2 nd interpolation reference range 1230 are referred to in order to obtain the 1 st predicted image 1140 and the 2 nd predicted image 1240. In addition, in order to obtain the 1 st gradient image 1150 and the 2 nd gradient image 1250, the pixels of the 1 st gradient reference range 1135 and the 2 nd gradient reference range 1235 are referred to.

[ Effect and the like ]

As described above, according to the encoding device and the decoding device of the present embodiment, the local motion estimation value can be derived in units of sub-blocks. Therefore, using the local motion estimation value in the sub-block unit can reduce a prediction error and reduce a processing load or processing time than the case of deriving the local motion estimation value in the pixel unit.

In addition, according to the encoding device and the decoding device according to the present embodiment, the interpolation reference range can be included in the normal reference range. Therefore, in the generation of the final predicted image using the local motion estimation values in units of sub-blocks, it is not necessary to load new pixel data for motion compensation from the frame memory, and increases in the memory capacity and memory bandwidth can be suppressed.

In addition, according to the encoding device and the decoding device according to the present embodiment, the gradient reference range can be included in the interpolation reference range. Therefore, it is not necessary to load new pixel data from the frame memory in order to acquire a gradient image, and an increase in the memory capacity and the memory bandwidth can be suppressed.

This embodiment can be implemented in combination with at least some of the other embodiments of the present invention. Further, a part of the processing, a part of the configuration of the apparatus, a part of the syntax, and the like described in the flowchart of the present embodiment may be combined with other embodiments.

(modification 1 of embodiment 2)

Next, a modification of the motion compensation filter and the gradient filter will be described in detail with reference to the drawings. In modification 1 below, the processing related to the 2 nd predicted image is similar to the processing related to the 1 st predicted image, and therefore the description thereof is omitted or simplified as appropriate.

[ motion compensation filtering ]

First, motion compensation filtering will be explained. Fig. 14 is a conceptual diagram for explaining an example of a reference range of motion compensation filtering in modification 1 of embodiment 2.

Here, a case where motion compensation filtering of 1/4 pixels in the horizontal direction and 1/2 pixels in the vertical direction is applied to the 1 st prediction block 1120 will be described as an example. The motion compensation filtering is so-called 8-tap filtering and is represented by the following equation (3).

[ equation 3 ]

w_0.25＝(-1，4，-10，58，17，-5，1，0)

w_0.5＝(-1，4，-11，40，40，-11，4，-1)

Here, I^k[x，y]The pixel value of the 1 st prediction image indicating decimal pixel accuracy when k is 0, and the pixel value of the 1 st prediction image indicating decimal pixel accuracy when k is 1Pixel values of the 2 nd prediction image of several pixels precision. The pixel value is a value that a pixel has, and is, for example, a luminance value or a color difference value in a prediction image. w is a_0.25And w_0.5And weighting coefficients representing 1/4 pixel accuracy and 1/2 pixel accuracy. I is₀ ^k[x，y]the pixel value of the 1 st prediction image with integer pixel accuracy is indicated when k is 0, and the pixel value of the 2 nd prediction image with integer pixel accuracy is indicated when k is 1.

For example, in the case where the motion compensation filtering of expression (3) is applied to the upper left pixel 1122 of fig. 14, the values of the pixels arranged in the horizontal direction are weighted-added in each row in the reference range 1131A, and the addition results of the plurality of rows are further weighted-added.

As described above, in the present modification, the motion compensation filtering for the upper left pixel 1122 refers to the pixels in the reference range 1131A. The reference range 1131A is a rectangular range of left 3 pixels, right 4 pixels, upper 3 pixels, and lower 4 pixels from the upper left pixel 1122.

such motion compensation filtering is applied to all pixels within the 1 st prediction block 1120. Therefore, in the motion compensation filtering for the 1 st prediction block 1120, the pixels of the 1 st interpolation reference range 1130A are referred to.

The 2 nd prediction block 1220 also applies motion compensation filtering as the 1 st prediction block 1120. That is, the pixels in the reference range 1231A are referred to for the upper left pixel 1222, and the pixels in the 2 nd interpolation reference range 1230A are referred to in the entire 2 nd prediction block 1220.

[ gradient Filtering ]

Next, gradient filtering will be described. Fig. 15 is a conceptual diagram for explaining an example of a reference range of gradient filtering in modification 1 of embodiment 2.

The gradient filter in the present modification is a so-called 5-tap filter, and is represented by the following equations (4) and (5).

[ equation 4 ]

[ equation 5 ]

w＝(2，-9，0，9，-2)

Here, I_x ^k[x，y]The horizontal gradient value of each pixel of the 1 st gradient image is represented when k is 0, and the horizontal gradient value of each pixel of the 2 nd gradient image is represented when k is 1. I is_y ^k[x，y]The vertical gradient value of each pixel of the 1 st gradient image is represented when k is 0, and the vertical gradient value of each pixel of the 2 nd gradient image is represented when k is 1. w represents a weight coefficient.

For example, when gradient filtering of expressions (4) and (5) is applied to the upper left pixel 1122 in fig. 15, a horizontal gradient value is calculated by weighted addition of pixel values of a predicted image of integer pixel accuracy, which is a pixel value of 5 pixels arranged in the horizontal direction including the upper left pixel 1122. The vertical gradient value is calculated by weighted addition of pixel values of a prediction image of integer pixel accuracy, which is pixel values of 5 pixels arranged in the vertical direction including the upper left pixel 1122. At this time, the weight coefficient has a value in which the positive and negative are inverted in the upper and lower or left and right pixels with the upper left pixel 1122 as a point of symmetry.

As described above, in the present modification, the gradient filter for the upper left pixel 1122 refers to the pixels in the reference range 1132A. The reference range 1132A has a cross shape extending 2 pixels from the upper left pixel 1122 to the upper, lower, left, and right.

such gradient filtering is applied to all pixels within the 1 st prediction block 1120. Therefore, in the motion compensation filtering for the 1 st prediction block 1120, the pixels of the 1 st gradient reference range 1135A are referred to.

Gradient filtering is also applied to the 2 nd prediction block 1220 as to the 1 st prediction block 1120. That is, the pixels of the reference range 1232A are referred to for the upper left pixel 1222, and the pixels of the 2 nd gradient reference range 1235A are referred to in the entire 2 nd prediction block 1220.

In addition, in the case where the motion vector specifying the reference range indicates a decimal pixel position, the pixel values of the reference ranges 1132A and 1232A of the gradient filtering may be converted into pixel values of decimal pixel precision, and the gradient filtering may be applied to the converted pixel values. Alternatively, a gradient filter having, as a coefficient value, a value obtained by convolving a coefficient value for conversion into fractional-pixel precision with a coefficient value for deriving a gradient value may be applied to a pixel value of integer-pixel precision. In this case, the gradient filtering is different at each decimal pixel position.

[ derivation of local motion estimation value in sub-block unit ]

Next, the derivation of the local motion estimation value in the sub-block unit will be described. Specifically, the derivation of the local motion estimation value of the upper-left sub-block among the plurality of sub-blocks included in the current block will be described as an example.

In the present modification, the horizontal local motion estimation value u and the vertical local motion estimation value v of the sub-block are derived based on the following expression (6).

[ equation 6 ]

Here, sG_xG_y、sG_x ²、sG_y ²、sG_xdI and sG_ydI is a value calculated in a sub-block unit, and is calculated based on the following expression (7).

[ equation 7 ]

Here, Ω is a set of coordinates of all pixels included in a predictor block, which is a region corresponding to a subblock within the predictor block. G_x[i，j]Representing the sum of the horizontal gradient value of the 1 st gradient image and the horizontal gradient value of the 2 nd gradient image, G_y[i，j]Represents the sum of the vertical gradient value of the 1 st gradient image and the vertical gradient value of the 2 nd gradient image. Delta I [ I, j ]]Indicates prediction of 1 stThe difference between the picture and the 2 nd predicted picture. w [ i, j ]]Representing weight coefficients that depend on the pixel position within the prediction sub-block. For example, the same value of the weight coefficients may be used to predict all pixels within a sub-block.

Specifically, G_x[I，j]、G_y[I，j]And Δ I [ I, j]Represented by the following formula (8).

[ equation 8 ]

As described above, the local motion estimation value is calculated in the sub-block unit.

[ Generation of final prediction image ]

Next, generation of the final prediction image will be described. Each pixel value p [ x, y of the final predicted image]Using the pixel value I of the 1 st prediction image⁰[x，y]and the pixel value I of the 2 nd predicted image¹[x，y]The calculation is based on the following equation (9).

[ equation 9 ]

p[x，y]＝(I⁰[x，y]+1¹[x，y]+b[x，y])＞＞1 (9)

Here, b [ x, y ]]indicating the correction value for each pixel. In equation (9), each pixel value p [ x, y of the final predicted image]By applying the pixel value I of the 1 st prediction image⁰[x，y]And the pixel value I of the 2 nd predicted image¹[x，y]And a correction value b [ x, y [ ]]The sum is calculated right shifted by 1 bit. In addition, the correction value b [ x, y ]]represented by the following formula (10).

[ equation 10 ]

in the formula (10), the correction value b [ x, y ]]Is obtained by comparing the difference value (I) of the horizontal gradient values between the 1 st gradient image and the 2 nd gradient image_x ⁰[x，y]-I_x ¹[x，y]) The result of multiplying by the horizontal local motion estimation value (u) and the difference value (I) of the vertical gradient value between the 1 st gradient image and the 2 nd gradient image_y ⁰[x，y]-I_y ¹[x，y]) The result multiplied by the vertical local motion estimate (v) is added.

The expression expressions described using the expressions (6) to (10) are examples, and may be different from the expression expressions having the same effect.

[ Effect and the like ]

As described above, even when the motion compensation filter and the gradient filter according to this modification are used, the local motion estimation value can be derived on a sub-block basis. The same effect as that of embodiment 2 described above can be obtained if the final prediction image of the current block is generated using the local motion estimation values in sub-block units derived in this way.

this embodiment can be implemented in combination with at least some of the other embodiments of the present invention. Further, a part of the processing, a part of the configuration of the apparatus, a part of the syntax, and the like described in the flowchart of the present embodiment may be combined with other embodiments.

(modification 2 of embodiment 2)

In embodiment 2 and modification 1 thereof, all pixels included in a predictor block corresponding to a sub-block in a current block are referred to for deriving a local motion estimation value, but the present invention is not limited thereto. For example, only a part of pixels among a plurality of pixels included in the predictor block may be referred to.

Therefore, in the present modification, a case will be described in which only some of the plurality of pixels included in the predictor block are referred to in deriving the local motion estimation value in sub-block units. For example, in expression (7) of modification 1 described above, instead of Ω which is the set of coordinates of all pixels included in the predictor block, the set of coordinates of some pixels in the predictor block is used. Various patterns can be used as a set of coordinates for a portion of the pixels within the prediction sub-block.

Fig. 16 is a diagram showing an example of a pattern of pixels to be referred to in deriving a local motion estimation value in modification 2 of embodiment 2. In fig. 16, a shaded circle within the predictor block 1121 or the predictor block 1221 represents a referenced pixel, and an unshaded circle represents a non-referenced pixel.

Each of the 7 pixel patterns of fig. 16(a) to (g) represents a part of pixels among a plurality of pixels included in the predictor block 1121 or the predictor block 1221. Also, the 7 pixel patterns are different from each other.

In fig. 16(a) to (c), only 8 pixels out of 16 pixels included in the predictor block 1121 or the predictor block 1221 are referred to. In fig. 16(d) to (g), only 4 pixels out of the 16 pixels included in the predictor block 1121 or the predictor block 1221 are referred to. That is, 8 pixels out of 16 pixels are thinned out in fig. 16(a) to (c), and 12 pixels out of 16 pixels are thinned out in fig. 16(d) to (g).

More specifically, in fig. 16(a), 8 pixels arranged with a deviation of 1 pixel from each other in the horizontal/vertical direction are referred to. In fig. 16(b), the left pair and the right pair of 2 pixels arranged in the horizontal direction are alternately referred to in the vertical direction. In fig. 16(c), the central 4 pixels and the four corners 4 pixels in the predictor block 1121 or the predictor block 1221 are referred to.

In fig. 16(d) and (e), the pixels in the 1 st column and the 3 rd column from the left are referred to by 2 pixels, respectively. In fig. 16(f), 4 pixels at four corners are referred to. In fig. 16(g), the central 4 pixels are referred to.

The pixel pattern may be adaptively selected from such a plurality of predetermined pixel patterns based on the 2 predicted images. For example, a pixel pattern including the number of pixels corresponding to the representative gradient values of the 2 prediction images may be selected. Specifically, when the representative gradient value is smaller than the threshold value, a pixel pattern including 4 pixels (for example, any one of fig. 16(d) to (g)) is selected, and when this is not the case, a pixel pattern including 8 pixels (for example, any one of fig. 16(a) to (c)) may be selected.

when a pixel pattern is selected from a plurality of pixel patterns, a local motion estimation value of a subblock is derived with reference to pixels within a prediction subblock indicated by the selected pixel pattern.

In addition, information indicating the selected pixel pattern may be written into the bitstream. In this case, the decoding apparatus may acquire information from the bit stream and select the pixel pattern based on the acquired information. The information indicating the selected pixel pattern can be written in a header of a block, slice, picture, or stream unit, for example.

As described above, according to the encoding device and the decoding device according to the present embodiment, it is possible to derive the local motion estimation value in units of subblocks by referring to only some of the pixels included in the predictor subblock. Therefore, the processing load or processing time can be reduced as compared with the case where all of the plurality of pixels are referred to.

Further, according to the encoding device and the decoding device according to the present embodiment, the local motion estimation value can be derived in units of sub-blocks by referring only to pixels included in a pixel pattern selected from a plurality of pixel patterns. Therefore, by switching the pixel pattern, it is possible to refer to the derived pixels suitable for the local motion estimation values of the sub-blocks, thereby achieving reduction of the prediction error.

This embodiment can be implemented in combination with at least some of the other embodiments of the present invention. Further, a part of the processing, a part of the configuration of the apparatus, a part of the syntax, and the like described in the flowchart of the present embodiment may be combined with other embodiments.

(other modification of embodiment 2)

The encoding device and the decoding device according to one or more aspects of the present invention have been described above based on the embodiments and modifications thereof, but the present invention is not limited to the embodiments and modifications thereof. The present invention is not limited to the embodiments described above, and various modifications can be made without departing from the scope of the present invention.

For example, the number of taps of the motion compensation filtering in embodiment 2 and modification 1 is 8 pixels, but the present invention is not limited thereto. The number of taps of the motion compensation filtering may be other as long as the interpolation reference range is included in the normal reference range.

In embodiment 2 and modification 1 thereof, the number of taps of the gradient filter is 6 pixels or 5 pixels, but the present invention is not limited thereto. Other numbers of taps are possible as long as the gradient reference range is included in the interpolation reference range.

In embodiment 2 and modification 1 thereof, the 1 st gradient reference range and the 2 nd gradient reference range are included in the 1 st interpolation reference range and the 2 nd interpolation reference range, but the present invention is not limited to this. For example, the 1 st gradient reference range may coincide with the 1 st interpolation reference range, and the 2 nd gradient reference range may coincide with the 2 nd interpolation reference range.

Further, when the local motion estimation value is derived in a sub-block unit, the value of the pixel may be weighted so that the value of the pixel at the center of the predictor block is reflected more preferentially. That is, in deriving the local motion estimation value, in each of the 1 st prediction block and the 2 nd prediction block, values of a plurality of pixels included in the prediction sub-block may be weighted and used, and in this case, the more pixels located at the center of the prediction sub-block among the plurality of pixels may have a larger weight. More specifically, for example, in modification 1 of embodiment 2, the weight coefficient w [ i, j ] of expression (7) may have a value that increases as the coordinate value becomes closer to the center of the predictor block.

In addition, when deriving the local motion estimation value in units of sub-blocks, it is also possible to refer to pixels in other adjacent prediction sub-blocks belonging to the same prediction block. That is, in each of the 1 st prediction block and the 2 nd prediction block, in addition to a plurality of pixels included in a prediction sub-block, a local motion estimation value in a sub-block unit may be derived by referring to pixels included in another prediction sub-block adjacent to the prediction sub-block within the prediction block.

The reference ranges of the motion compensation filter and the gradient filter in embodiment 2 and modification 1 are examples, and are not necessarily limited thereto.

In modification 2 of embodiment 2, a 7-pixel pattern is shown as an example, but the present invention is not limited to this. For example, a pixel pattern obtained by spin-converting 7 pixel patterns may be used.

The value of the weight coefficient in modification 1 of embodiment 2 is an example, and is not limited to this. The block size and the sub-block size in embodiment 2 and the modifications thereof are examples, and are not limited to the 8 × 8 pixel size and the 4 × 4 pixel size. Even with other sizes, inter prediction can be performed in the same manner as in embodiment 2 and its modifications.

This embodiment can be implemented in combination with at least some of the other embodiments of the present invention. Further, a part of the processing, a part of the configuration of the apparatus, a part of the syntax, and the like described in the flowchart of the present embodiment may be combined with other embodiments.

(embodiment mode 3)

in the above embodiments, each functional block may be realized by an MPU, a memory, or the like. The processing of each functional block is usually realized by reading out and executing software (program) recorded in a recording medium such as a ROM by a program execution unit such as a processor. The software may be distributed by downloading or the like, or may be distributed by recording the software in a recording medium such as a semiconductor memory. It is needless to say that each functional block can be realized by hardware (dedicated circuit).

The processing described in each embodiment may be realized by centralized processing using a single apparatus (system), or may be realized by distributed processing using a plurality of apparatuses. The processor that executes the program may be single or plural. That is, the collective processing may be performed or the distributed processing may be performed.

The embodiment of the present invention is not limited to the above embodiment, and various modifications can be made, and they are also included in the scope of the embodiment of the present invention.

Further, an application example of the moving image encoding method (image encoding method) or the moving image decoding method (image decoding method) described in each of the above embodiments and a system using the same will be described. The system is characterized by comprising an image encoding device using an image encoding method, an image decoding device using an image decoding method, and an image encoding and decoding device provided with both. Other configurations in the system can be changed as appropriate depending on the case.

[ use example ]

fig. 17 is a diagram showing the overall configuration of a content providing system ex100 that realizes a content distribution service. The area for providing the communication service is divided into desired sizes, and base stations ex106, ex107, ex108, ex109, and ex110 as fixed wireless stations are provided in each cell.

In the content providing system ex100, devices such as a computer ex111, a game machine ex112, a camera ex113, a home appliance ex114, and a smart phone ex115 are connected to the internet ex101 via the internet service provider ex102, the communication network ex104, and the base stations ex106 to ex 110. The content providing system ex100 may be connected by combining some of the above elements. The devices may be directly or indirectly connected to each other via a telephone network, short-range wireless, or the like without via the base stations ex106 to ex110 as fixed wireless stations. The streaming server ex103 is connected to devices such as the computer ex111, the game machine ex112, the camera ex113, the home appliance ex114, and the smart phone ex115 via the internet ex101 and the like. The streaming server ex103 is connected to a terminal or the like in a hot spot in the airplane ex117 via the satellite ex 116.

Instead of the base stations ex106 to ex110, a wireless access point, a hot spot, or the like may be used. The streaming server ex103 may be directly connected to the communication network ex104 without via the internet ex101 or the internet service provider ex102, or may be directly connected to the airplane ex117 without via the satellite ex 116.

The camera ex113 is a device such as a digital camera capable of shooting still images and moving images. The smart phone ex115 is a smart phone, a mobile phone, or a phs (personal Handyphone system) that is compatible with a mobile communication system generally called 2G, 3G, 3.9G, 4G, or 5G in the future.

The home appliance ex118 is a refrigerator, a device included in a home fuel cell cogeneration system, or the like.

In the content providing system ex100, a terminal having a camera function is connected to the streaming server ex103 via the base station ex106 or the like, and live distribution or the like is possible. In live distribution, the terminals (such as the computer ex111, the game machine ex112, the camera ex113, the home appliance ex114, the smartphone ex115, and the terminal in the airplane ex 117) perform the encoding processing described in the above embodiments on the still image or moving image content captured by the user using the terminals, multiplex video data obtained by encoding and audio data obtained by encoding audio corresponding to the video, and transmit the obtained data to the streaming server ex 103. That is, each terminal functions as an image coding apparatus according to an aspect of the present invention.

on the other hand, the streaming server ex103 distributes the streaming of the content data transmitted to the client having the request. The client is a terminal or the like in the computer ex111, the game machine ex112, the camera ex113, the home appliance ex114, the smart phone ex115, or the airplane ex117, which can decode the data subjected to the encoding processing. Each device that receives the distributed data performs decoding processing on the received data and reproduces it. That is, each device functions as an image decoding apparatus according to an aspect of the present invention.

[ Dispersion treatment ]

The streaming server ex103 may be a plurality of servers or a plurality of computers, and distribute data by distributed processing or recording. For example, the streaming server ex103 may be implemented by cdn (contents Delivery network), and content Delivery is implemented by a network connecting a plurality of edge servers distributed in the world and the edge servers. In a CDN, edge servers that are physically close are dynamically allocated according to clients. Furthermore, by caching and distributing content to the edge server, latency can be reduced. Further, when some error occurs or when the communication state changes due to an increase in traffic or the like, the processing can be distributed by a plurality of edge servers, or the distribution can be continued by switching the distribution subject to another edge server or by bypassing the network portion in which the failure has occurred.

Further, the encoding process of the captured data may be performed by each terminal, may be performed on the server side, or may be performed by sharing each other, without being limited to the distributed process of the distribution itself. As an example, the encoding process is generally performed 2 processing cycles. The complexity or the amount of code of an image of a frame or scene unit is detected in the 1 st loop. In addition, in the 2 nd cycle, the processing for improving the encoding efficiency by maintaining the image quality is performed. For example, by performing the encoding process for the 1 st time by the terminal and performing the encoding process for the 2 nd time by the server side that receives the content, it is possible to improve the quality and efficiency of the content while reducing the processing load in each terminal. In this case, if there is a request to receive and decode data in substantially real time, the data that has been encoded for the first time by the terminal can be received and reproduced by another terminal, and therefore, more flexible real-time distribution is possible.

As another example, the camera ex113 or the like performs feature amount extraction from an image, compresses data on feature amounts as metadata, and transmits the compressed data to the server. The server judges the importance of the target based on the feature amount, switches quantization accuracy, and the like, and performs compression corresponding to the meaning of the image. The feature data is particularly effective for improving the accuracy and efficiency of motion vector prediction at the time of recompression in the server. Further, the terminal may perform simple coding such as VLC (variable length coding), and the server may perform coding with a large processing load such as CABAC (context adaptive binary arithmetic coding).

As another example, in a stadium, a shopping mall, a factory, or the like, a plurality of terminals may capture a plurality of pieces of video data of substantially the same scene. In this case, a plurality of terminals that have performed image capturing and, if necessary, other terminals and servers that have not performed image capturing are used, and the encoding process is assigned and distributed in units of, for example, gops (group of picture), pictures, or tiles obtained by dividing pictures. Thus, delay can be reduced and real-time performance can be improved.

Further, since the plurality of pieces of video data are substantially the same scene, the server may manage and/or instruct the plurality of pieces of video data so as to refer to the pieces of video data captured by the respective terminals. Alternatively, the server may receive encoded data from each terminal, change the reference relationship among a plurality of data, or re-encode the picture itself by correcting or replacing the picture. This enables generation of a stream in which the quality and efficiency of individual data are improved.

The server may also transcode the video data to change the encoding method of the video data and distribute the video data. For example, the server may convert an MPEG encoding scheme into a VP scheme, or may convert h.264 into h.265.

In this way, the encoding process can be performed by the terminal or 1 or more servers. Therefore, the following description uses "server" or "terminal" as a main body for performing the processing, but a part or all of the processing performed by the server may be performed by the terminal, or a part or all of the processing performed by the terminal may be performed by the server. The same applies to the decoding process.

[3D, Multi-Angle ]

In recent years, there have been increasing cases where images or videos of different scenes captured by a plurality of terminals such as the camera ex113 and the smartphone ex115, which are substantially synchronized with each other, or images or videos of the same scene captured from different angles are combined and used. Images captured by the respective terminals are merged based on a relative positional relationship between the terminals acquired separately, or areas where feature points included in the images coincide, or the like.

The server may encode a still image automatically or at a time designated by a user based on scene analysis of a moving image and transmit the encoded still image to the receiving terminal, instead of encoding a two-dimensional moving image. When the relative positional relationship between the imaging terminals can be acquired, the server can generate a three-dimensional shape of the same scene based on images of the scene captured from different angles, in addition to the two-dimensional moving image. The server may encode three-dimensional data generated from a point cloud (pointcloud) or the like separately, or may select or reconstruct images from images captured by a plurality of terminals based on the result of recognizing or tracking a person or a target using the three-dimensional data, and generate an image to be transmitted to the receiving terminal.

In this way, the user can enjoy a scene by arbitrarily selecting each video corresponding to each imaging terminal, and can also enjoy the contents of a video cut from a three-dimensional data reconstructed using a plurality of images or videos from an arbitrary viewpoint. Further, similarly to the video, the audio may be collected from a plurality of different angles, and the server may multiplex and transmit the audio from a specific angle or space with the video in accordance with the video.

In recent years, contents such as Virtual Reality (VR) and Augmented Reality (AR) that correspond to the real world and the Virtual world have become widespread. In the case of VR images, the server creates viewpoint images for the right eye and the left eye, respectively, and may perform encoding allowing reference between the viewpoint images by Multi-View Coding (MVC) or the like, or may perform encoding as different streams without referring to each other. Upon decoding of different streams, they can be reproduced in synchronization with each other according to the viewpoint of a user to reproduce a virtual three-dimensional space.

In the case of an AR image, the server may superimpose virtual object information on the virtual space on camera information of the real space based on the three-dimensional position or the movement of the viewpoint of the user. The decoding device acquires or holds virtual object information and three-dimensional data, generates a two-dimensional image in accordance with the movement of the viewpoint of the user, and creates superimposed data by smoothly connecting the two-dimensional image and the three-dimensional data. Alternatively, the decoding device may transmit the movement of the viewpoint of the user to the server in addition to the request of the virtual object information, and the server may create the superimposition data in accordance with the received movement of the viewpoint from the three-dimensional data held in the server, encode the superimposition data, and distribute the superimposition data to the decoding device. The superimposition data has an α value indicating transmittance other than RGB, and the server sets the α value of a portion other than the target created from the three-dimensional data to 0 or the like, and encodes the superimposition data in a state where the portion is transmissive. Alternatively, the server may generate data in which the RGB values of the predetermined values are set as the background, such as the chroma key, and the portion other than the object is set as the background color.

Similarly, the decoding process of the distributed data may be performed by each terminal as a client, may be performed on the server side, or may be performed by sharing each terminal with each other. For example, a certain terminal may transmit a reception request to the server, receive a content corresponding to the request by another terminal, perform decoding processing, and transmit a decoded signal to a device having a display. By dispersing the processing and selecting appropriate contents regardless of the performance of the communicable terminal itself, data with good image quality can be reproduced. In another example, a large-size image data may be received by a TV or the like, and a partial area such as a tile into which a picture is divided may be decoded and displayed by a personal terminal of a viewer. This makes it possible to share the entire image and confirm the region in charge of the user or the region to be confirmed in more detail at hand.

In addition, in a situation where a plurality of wireless communications of a short distance, a medium distance, or a long distance can be used indoors and outdoors in the future, it is expected that content will be received seamlessly while switching appropriate data to the communication being connected, using a distribution system standard such as MPEG-DASH. Thus, the user can freely select a decoding device or a display device such as a display installed indoors or outdoors to switch in real time, not only by using his/her own terminal. Further, the decoding terminal and the displayed terminal can be switched and decoded based on the own position information and the like. This makes it possible to move the vehicle to a destination while displaying map information on a part of a wall surface or a floor surface of a building in which a display-enabled device is embedded. Further, the bit rate of the received data can be switched based on the ease of access to the encoded data on the network, such as caching the encoded data in a server that can be accessed from the receiving terminal in a short time, or copying the encoded data to an edge server of the content distribution service.

[ scalable encoding ]

The switching of contents will be described using scalable (scalable) streams shown in fig. 18, which are compression-encoded by applying the moving picture encoding method described in each of the above embodiments. The server may have a plurality of streams having the same content and different qualities as a single stream, or may have a configuration in which the content is switched using the feature of temporally and spatially scalable streams obtained by layered coding as shown in the figure. That is, the decoding side can freely switch between the low-resolution content and the high-resolution content and decode the content by determining which layer to decode based on intrinsic factors such as performance and extrinsic factors such as the state of the communication band. For example, when a user wants to view a video that is viewed by the mobile smartphone ex115 later, after returning home, by an internet TV or other device, the device can decode the same stream to a different layer, and thus the load on the server side can be reduced.

Further, in addition to the structure in which pictures are coded for each layer as described above and the scalability in which an enhancement layer exists above a base layer is realized, an enhancement layer (enhancement layer) may include meta information such as statistical information based on an image, and a decoding side may generate content with high image quality by super-resolving pictures of the base layer based on the meta information. The super-resolution may be either an increase in the SN ratio or an increase in the resolution at the same resolution. The meta information includes information for specifying linear or nonlinear filter coefficients used in the super-resolution processing, or information for specifying parameter values in the filter processing, machine learning, or minimum 2-product operation used in the super-resolution processing, and the like.

Alternatively, a picture may be divided into tiles or the like according to the meaning of an object or the like in an image, and the decoding side may select a tile to be decoded to decode only a partial region. Further, by storing the attributes of the object (person, car, ball, etc.) and the position within the video (coordinate position in the same image, etc.) as meta information, the decoding side can specify the position of a desired object based on the meta information and determine a tile including the object. For example, as shown in fig. 19, meta information is saved using a data saving structure such as an SEI message in HEVC that is different from pixel data. The meta information indicates, for example, the position, size, color, or the like of the main target.

The meta information may be stored in units of a plurality of pictures, such as streams, sequences, and random access units. Thus, the decoding side can acquire the time when the specific person appears in the video, and the like, and can specify the picture in which the target exists and the position of the target in the picture by matching with the information in the picture unit.

[ optimization of Web Page ]

fig. 20 is a diagram showing an example of a display screen of a web page in the computer ex111 and the like. Fig. 21 is a diagram showing an example of a display screen of a web page in the smartphone ex115 or the like. As shown in fig. 20 and 21, a web page may include a plurality of link images as links to image content, and the visibility may vary depending on the viewing device. When a plurality of link images are visible on the screen, before the user explicitly selects a link image, or before the link image is close to the center of the screen or the entire link image is entered into the screen, a display device (decoding device) displays a still image or an I picture included in each content as a link image, displays a video such as gif moving picture using a plurality of still images or I pictures, or receives only a base layer and decodes and displays the video.

In the case where the link image is selected by the user, the display apparatus decodes the base layer with the highest priority. In addition, if information indicating content that is scalable is present in HTML constituting a web page, the display apparatus may decode to the enhancement layer. In addition, when there is a shortage of communication bands or before selection in order to ensure real-time performance, the display device can reduce a delay between the decoding time and the display time of the leading picture (delay from the start of decoding of the content to the start of display) by decoding and displaying only the picture to be referred to ahead (I picture, P picture, B picture to be referred to ahead only). The display device may also perform rough decoding by forcibly ignoring the reference relationship of pictures, using all B pictures and P pictures as forward references, and perform normal decoding by increasing the number of received pictures with the passage of time.

[ automatic traveling ]

In addition, when transmitting and receiving still images or video data such as two-dimensional or three-dimensional map information for automatic travel or travel assistance of a vehicle, the receiving terminal may receive weather or construction information as meta information in addition to image data belonging to 1 or more layers, and decode the information in association with the received information. The meta information may belong to a layer or may be multiplexed with only the image data.

In this case, since the vehicle, the drone, the airplane, or the like including the receiving terminal is moving, the receiving terminal can switch the base stations ex106 to ex110 to perform seamless reception and decoding by transmitting the location information of the receiving terminal when receiving the request. The receiving terminal can dynamically switch to how much meta information is received or how much map information is updated, depending on the selection of the user, the situation of the user, or the state of the communication band.

As described above, in the content providing system ex100, the client can receive, decode, and reproduce encoded information transmitted by the user in real time.

[ distribution of personal content ]

In addition, the content supply system ex100 can distribute not only high-quality and long-time content provided by a video distribution provider but also low-quality and short-time content provided by an individual by unicast or multicast. Further, it is conceivable that such personal content will increase in the future. In order to make the personal content a better content, the server may perform an encoding process after performing an editing process. This can be achieved by the following structure, for example.

When shooting is performed in real time or accumulated, the server performs recognition processing such as shooting error, scene search, meaning analysis, and object detection based on the original image or encoded data. The server manually or automatically performs editing such as correction of focus deviation or camera shake, deletion of a scene with lower brightness than other pictures or a scene with no focus, enhancement of an edge of a target, and change of color tone, based on the recognition result. And the server encodes the edited data based on the editing result. It is also known that if the shooting time is too long, the audience rate decreases, and the server may automatically limit, based on the image processing result, not only scenes with low importance as described above but also scenes with little motion, so as to have contents within a specific time range, depending on the shooting time. Alternatively, the server may generate a summary based on the result of the meaning analysis of the scene and encode the summary.

In addition, in some cases, contents infringing copyright, copyright of a writer, portrait right, and the like are written in the original state of personal contents, and there is a case where it is inconvenient for a person that the shared range exceeds a desired range. Therefore, for example, the server may encode the image by forcibly changing the face of a person around the screen or the home or the like to an out-of-focus image. The server may recognize whether or not a face of a person different from a person registered in advance is captured in the image to be encoded, and may perform processing such as mosaic processing on the face portion when the face is captured. Alternatively, as the pre-processing or post-processing of the encoding, the user may specify a person or a background region to be processed from the viewpoint of copyright or the like, and the server may perform processing such as replacing the specified region with another video or blurring the focus. If the face is a person, the image of the face portion can be replaced while the person is tracked in the moving image.

further, since viewing of personal content with a small data amount requires high real-time performance, the decoding device receives the base layer first with the highest priority, decodes the received base layer, and reproduces the decoded base layer, depending on the bandwidth. The decoding device may receive the enhancement layer during this period, and may include the enhancement layer in the case of being played back more than 2 times, such as when playback is looped, to play back the high-quality video. In this way, if the stream is scalable-coded, it is possible to provide an experience in which the stream becomes smooth and the image becomes better although the moving image is relatively coarse at the time of non-selection or at the beginning of viewing. In addition to scalable encoding, the same experience can be provided even when the 1 st stream to be reproduced and the 2 nd stream to be encoded with reference to the 1 st video are 1 stream.

[ other use examples ]

These encoding and decoding processes are usually performed in LSIex500 provided in each terminal. LSIex500 may be a single chip or a structure made up of multiple chips. Alternatively, software for encoding or decoding a moving picture may be loaded into a recording medium (such as a CD-ROM, a flexible disk, or a hard disk) that can be read by the computer ex111 or the like, and encoding and decoding processes may be performed using the software. Further, when the smartphone ex115 is equipped with a camera, the moving image data acquired by the camera may be transmitted. The moving image data at this time is data subjected to encoding processing by LSIex500 of the smartphone ex 115.

Alternatively, LSIex500 may be a structure that downloads application software and activates it. In this case, the terminal first determines whether the terminal corresponds to the encoding method of the content or has the performance capability of the specific service. When the terminal does not support the encoding system of the content or does not have the capability of executing a specific service, the terminal downloads the codec or application software and then acquires and reproduces the content.

In addition, not only the content providing system ex100 via the internet ex101, but also at least one of the moving image coding apparatus (image coding apparatus) and the moving image decoding apparatus (image decoding apparatus) according to the above embodiments may be incorporated in a digital broadcasting system. Since multiplexed data obtained by multiplexing video and audio is transmitted and received by using broadcast radio waves such as satellites, there is a difference in that the content providing system ex100 is suitable for multicast in a configuration that facilitates unicast, but the same application can be made to encoding processing and decoding processing.

[ hardware configuration ]

fig. 22 is a diagram showing the smartphone ex 115. Fig. 23 is a diagram showing a configuration example of the smartphone ex 115. The smartphone ex115 includes an antenna ex450 for transmitting and receiving radio waves to and from the base station ex110, a camera unit ex465 capable of capturing video and still images, and a display unit ex458 for displaying data obtained by decoding the video captured by the camera unit ex465, the video received by the antenna ex450, and the like. The smartphone ex115 further includes an operation unit ex466 such as a touch panel, an audio output unit ex457 such as a speaker for outputting audio or sound, an audio input unit ex456 such as a microphone for inputting audio, a memory unit ex467 capable of storing encoded data or decoded data of captured video or still images, recorded audio, received video or still images, mail, and the like, or SIMex468 for identifying a user and authenticating access to various data on behalf of a network, or an insertion unit ex464 as an interface with the SIMex 468. In addition, an external memory may be used instead of the memory unit ex 467.

The main control unit ex460 that comprehensively controls the display unit ex458, the operation unit ex466, and the like is connected to the power supply circuit unit ex461, the operation input control unit ex462, the video signal processing unit ex455, the camera interface unit ex463, the display control unit ex459, the modulation/demodulation unit ex452, the multiplexing/separation unit ex453, the audio signal processing unit ex454, the slot unit ex464, and the memory unit ex467 via the bus ex 470.

the power supply circuit unit ex461 activates the smartphone ex115 to be operable by supplying power from the battery pack to each unit if the power key is turned on by the user's operation.

The smartphone ex115 performs processing such as call and data communication under the control of a main control unit ex460 having a CPU, ROM, RAM, and the like. During a call, the audio signal processing unit ex454 converts the audio signal collected by the audio input unit ex456 into a digital audio signal, performs spectrum spreading processing on the digital audio signal by the modulation/demodulation unit ex452, performs digital-to-analog conversion processing and frequency conversion processing by the transmission/reception unit ex451, and transmits the digital audio signal via the antenna ex 450. The received data is amplified, subjected to frequency conversion processing and analog-digital conversion processing, subjected to spectrum inverse diffusion processing by the modulation/demodulation unit ex452, converted into an analog audio signal by the audio signal processing unit ex454, and then output from the audio output unit ex 457. In data communication, text, still image, or video data is transmitted to the main control unit ex460 via the operation input control unit ex462 by operation of the operation unit ex466 of the main body unit, and the transmission/reception processing is performed in the same manner. In the data communication mode, when transmitting video, still images, or video and audio, the video signal processing unit ex455 performs compression coding on the video signal stored in the memory unit ex467 or the video signal input from the camera unit ex465 by the moving picture coding method described in each of the above embodiments, and transmits the coded video data to the multiplexing/demultiplexing unit ex 453. The audio signal processing unit ex454 encodes an audio signal collected by the audio input unit ex456 during shooting of a video, a still image, or the like by the camera unit ex465, and sends the encoded audio data to the multiplexing/demultiplexing unit ex 453. The multiplexing/demultiplexing unit ex453 multiplexes the coded video data and the coded audio data in a predetermined manner, and the modulation and conversion processing is performed by the modulation/demodulation unit (modulation/demodulation circuit unit) ex452 and the transmission/reception unit ex451, and the data is transmitted via the antenna ex 450.

When receiving a video attached to an e-mail or a chat tool, or a video linked to a web page or the like, the multiplexing/demultiplexing unit ex453 demultiplexes the multiplexed data into a video data bit stream and a voice data bit stream by demultiplexing the multiplexed data, and supplies the encoded video data to the video signal processing unit ex455 and the encoded voice data to the voice signal processing unit ex454 via the synchronous bus ex470, respectively, in order to decode the multiplexed data received via the antenna ex 450. The video signal processing unit ex455 decodes the video signal by a moving image decoding method corresponding to the moving image coding method described in each of the above embodiments, and displays the video or still image included in the linked moving image file from the display unit ex458 via the display control unit ex 459. The audio signal processing unit ex454 decodes the audio signal, and outputs the audio signal from the audio output unit ex 457. In addition, since real-time streaming is becoming popular, it is possible that playback of sound is socially inappropriate depending on the situation of the user. Therefore, as the initial value, a configuration is preferable in which only video data is reproduced without reproducing an audio signal. The audio may be reproduced in synchronization only when the user performs an operation such as clicking on the video data.

Note that, although the smart phone ex115 is described as an example, 3 types of installation forms of a transmitting terminal having only an encoder and a receiving terminal having only a decoder, in addition to a transmitting/receiving terminal having both an encoder and a decoder, are conceivable as terminals. Further, in the digital broadcasting system, although the explanation has been given assuming that multiplexed data such as audio data is received and transmitted while multiplexed data in which audio data is multiplexed with video data, the multiplexed data may be multiplexed with character data or the like associated with video in addition to audio data, or may be received or transmitted not as multiplexed data but as video data itself.

Further, the main control unit ex460 including the CPU controls the encoding and decoding processes, but the terminal often includes a GPU. Therefore, a configuration may be adopted in which a large area is processed at once by utilizing the performance of the GPU by using a memory shared by the CPU and the GPU or a memory for managing addresses so as to be commonly usable. This shortens the encoding time, ensures real-time performance, and realizes low delay. In particular, it is more effective if the processes of motion estimation, deblocking filtering, sao (sampled adaptive offset), and transformation/quantization are not performed by the CPU but are performed together in units of pictures or the like by the GPU.

Industrial applicability

the present invention can be applied to, for example, a television receiver, a digital video recorder, a car navigation system, a mobile phone, a digital camera, a digital video camera, or the like.

Description of the reference symbols

100 encoder

102 division part

104 subtraction part

106 transformation part

108 quantization part

110 entropy coding part

112. 204 inverse quantization unit

114. 206 inverse transformation part

116. 208 addition unit

118. 210 block memory

120. 212 loop filter part

122. 214 frame memory

124. 216 intra prediction unit

126. 218 inter prediction unit

128. 220 prediction control unit

200 decoding device

202 entropy decoding unit

1000 current picture

1001 Current Block

1100 reference to figure 1

1110 1 st motion vector

1120 prediction block 1

1121. 1221 predictor block

1122. 1222 upper left pixel

1130. 1130A No. 1 interpolation reference Range

1131. 1131A, 1132A, 1231A, 1232, and 1232A reference ranges

1135. 1135A gradient reference range 1

1140 the 1 st predictive image

1150 1 st gradient image

1200 nd 2 reference picture

1210 nd motion vector

1220 2 nd prediction block

1230. 1230A interpolation reference Range 2

1235. 1235A 2 nd gradient reference Range

1240 th 2 predicted image

1250 nd gradient image

1300 local motion estimation

1400 final prediction image