阅读说明：本技术 检测窗口自定义定形系统及方法 (Detection window self-defining shaping system and method ) 是由 王娟 于 2020-11-17 设计创作，主要内容包括：本发明涉及一种检测窗口自定义定形系统,包括：特性判断设备,用于对第二增强图像中的每一个对象执行对象种类分析,并基于分析到的种类判断相应对象是否属于运动对象；轮廓检测设备,用于对所述第二增强图像中的每一个运动对象执行以下操作：获取所述运动对象占据的图像区域的边缘形状以作为所述运动对象的轮廓；窗口映射机构,用于基于所述运动对象的轮廓定义用于对所述运动对象执行运动检测的检测窗口的轮廓。本发明还涉及一种检测窗口自定义定形方法。本发明的检测窗口自定义定形系统及方法结构紧凑、运行智能。由于能够基于待编码图像中的运动目标的相关信息自定义针对运动目标的图像编码策略,从而降低了执行图像编码的运算负荷。(The invention relates to a detection window self-defining shaping system, which comprises: a characteristic judgment device for performing object kind analysis on each object in the second enhanced image and judging whether the corresponding object belongs to a moving object based on the analyzed kind; a contour detection device for performing the following operations for each moving object in the second enhanced image: acquiring an edge shape of an image area occupied by the moving object as a contour of the moving object; a window mapping mechanism for defining a contour of a detection window for performing motion detection on the moving object based on the contour of the moving object. The invention also relates to a self-defined shaping method of the detection window. The detection window self-defining shaping system and method provided by the invention are compact in structure and intelligent in operation. The image coding strategy aiming at the moving target can be customized based on the related information of the moving target in the image to be coded, so that the operation load of executing image coding is reduced.)

1. A detection window custom shaping system, the system comprising:

the visual detection mechanism is internally provided with an optical imaging lens, is arranged at a competition place and is used for performing visual detection operation on competition scenes when a competition is carried out so as to obtain multi-frame detection images with different timestamps.

2. The detection window custom shaping system as defined in claim 1, further comprising:

and the image restoration mechanism is connected with the vision detection mechanism and used for executing restoration processing on each detected frame of image based on the optical characteristics of the optical imaging lens so as to obtain a corresponding instant restoration frame.

3. The detection window custom shaping system as defined in claim 2, further comprising:

the first enhancement equipment is connected with the image restoration mechanism and is used for performing enhancement processing on adjacent image content with over-limited color contrast on each received instant restoration frame to obtain a first enhanced image;

the second enhancement device is connected with the first enhancement device and is used for performing enhancement processing on adjacent image content with over-limited contrast on the received first enhancement image to obtain a second enhancement image;

a characteristic judgment device connected to the second enhancement device, for performing object class analysis on each object in the second enhanced image, and judging whether the corresponding object belongs to a moving object based on the analyzed class;

a contour detection device connected to the characteristic determination device for performing the following operations for each moving object in the second enhanced image: acquiring an edge shape of an image area occupied by the moving object as a contour of the moving object;

a window mapping mechanism, connected to the contour detection device, for performing the following operations on each moving object in the second enhanced image: defining a contour of a detection window for performing motion detection on the moving object based on the contour of the moving object;

wherein defining a contour of a detection window for performing motion detection on the moving object based on the contour of the moving object comprises: a contour of a detection window that performs motion detection on the moving object is matched with a contour of the moving object;

wherein a detection window for performing motion detection on the moving object is used for a plurality of second enhanced images adjacent to the moving object to realize resolution of a motion direction and a motion amplitude of the moving object;

wherein the detection window for performing motion detection on the moving object is used for a plurality of adjacent second enhanced images in which the moving object exists to realize the analysis of the motion direction and the motion amplitude of the moving object comprises: the shallower the depth of field of the moving object, the fewer the number of the second enhanced images adjacent to the moving object in the detection window for performing the motion detection on the moving object;

wherein performing an object class analysis on each object in the second enhanced image and determining whether the corresponding object belongs to a moving object based on the analyzed class comprises: identifying an object class of each object in the second enhanced image based on color imaging features or appearance imaging features of various objects present at a venue;

wherein the object categories include playing pieces, athletes, referees, spectators, seats, and railings;

wherein performing an object class analysis on each object in the second enhanced image and determining whether the corresponding object belongs to a moving object based on the analyzed class further comprises: and when the analyzed type is a game, an athlete, a referee or a spectator, judging that the corresponding object belongs to the moving object.

4. The detection window custom shaping system of claim 3, wherein:

performing object class analysis on each object in the second enhanced image, and determining whether the corresponding object belongs to a moving object based on the analyzed class further includes: and when the analyzed type is a seat or a railing, judging that the corresponding object belongs to a non-moving object.

5. The detection window custom shaping system as defined in claim 4, further comprising:

an information encoding device connected to the window mapping mechanism for performing motion encoding on each moving object in the second enhanced image based on the detection window of each moving object in the second enhanced image to compress image data;

wherein the contour detection apparatus and the window mapping mechanism do not perform a contour detection operation and a window mapping operation on each non-moving object in the second enhanced image.

6. A detection window custom shaping method is characterized by comprising the following steps:

the visual detection mechanism is used, an optical imaging lens is arranged in the visual detection mechanism, the optical imaging lens is arranged at a competition place, and the visual detection mechanism is used for performing visual detection operation on competition scenes when a competition is carried out so as to obtain multi-frame detection images with different timestamps.

7. The method for custom shaping a detection window of claim 6, the method further comprising:

and an image restoration mechanism connected with the vision detection mechanism and used for executing restoration processing on each frame of detection image based on the optical characteristics of the optical imaging lens so as to obtain a corresponding instant restoration frame.

8. The method for custom shaping a detection window of claim 7, the method further comprising:

using a first enhancement device, connected to said image recovery mechanism, for performing enhancement processing of adjacent image content with color contrast overrun on each received instantaneous recovery frame to obtain a first enhanced image;

using a second enhancement device, connected to said first enhancement device, for performing enhancement processing of adjacent image content with an out-of-contrast limit on the received first enhanced image to obtain a second enhanced image;

a usage characteristic determination device connected to the second enhancement device, for performing object class analysis on each object in the second enhanced image, and determining whether the corresponding object belongs to a moving object based on the analyzed class;

using a contour detection device, connected to the characteristic determination device, for performing the following operations for each moving object in the second enhanced image: acquiring an edge shape of an image area occupied by the moving object as a contour of the moving object;

using a window mapping mechanism, connected to the contour detection device, for performing the following operations for each moving object in the second enhanced image: defining a contour of a detection window for performing motion detection on the moving object based on the contour of the moving object;

wherein defining a contour of a detection window for performing motion detection on the moving object based on the contour of the moving object comprises: a contour of a detection window that performs motion detection on the moving object is matched with a contour of the moving object;

wherein a detection window for performing motion detection on the moving object is used for a plurality of second enhanced images adjacent to the moving object to realize resolution of a motion direction and a motion amplitude of the moving object;

wherein the detection window for performing motion detection on the moving object is used for a plurality of adjacent second enhanced images in which the moving object exists to realize the analysis of the motion direction and the motion amplitude of the moving object comprises: the shallower the depth of field of the moving object, the fewer the number of the second enhanced images adjacent to the moving object in the detection window for performing the motion detection on the moving object;

wherein performing an object class analysis on each object in the second enhanced image and determining whether the corresponding object belongs to a moving object based on the analyzed class comprises: identifying an object class of each object in the second enhanced image based on color imaging features or appearance imaging features of various objects present at a venue;

wherein the object categories include playing pieces, athletes, referees, spectators, seats, and railings;

wherein performing an object class analysis on each object in the second enhanced image and determining whether the corresponding object belongs to a moving object based on the analyzed class further comprises: and when the analyzed type is a game, an athlete, a referee or a spectator, judging that the corresponding object belongs to the moving object.

9. The custom shaping method for a detection window of claim 8, wherein:

performing object class analysis on each object in the second enhanced image, and determining whether the corresponding object belongs to a moving object based on the analyzed class further includes: and when the analyzed type is a seat or a railing, judging that the corresponding object belongs to a non-moving object.

10. The method for custom shaping a detection window of claim 9, the method further comprising:

a use information encoding device, connected to the window mapping mechanism, for performing motion encoding on each moving object in the second enhanced image based on the detection window of each moving object in the second enhanced image to compress image data;

wherein the contour detection apparatus and the window mapping mechanism do not perform a contour detection operation and a window mapping operation on each non-moving object in the second enhanced image.

Technical Field

The invention relates to the field of compression coding, in particular to a detection window self-defining shaping system and a detection window self-defining shaping method.

Background

A compression coding technique of multimedia data is developed on the basis of the c.e. shannon information theory. Coding methods can be divided into three categories: (1) according to the statistical characteristics of the information source, methods (first generation coding methods) such as predictive coding, transform coding, vector quantization coding, subband coding, neural network coding, and the like are employed. (2) According to the visual characteristics of human eyes, methods (second generation coding methods) such as image coding based on directional filtering, image contour and ethical coding based on image contour, coding based on wavelet analysis, and the like are adopted. (3) According to the delivered scene features: fractal coding, model-based coding, and the like (second generation coding methods) are employed.

Entropy coding reconstructs data that is completely identical to the original data during decompression, and is thus a lossless compression method. It treats the compressed data stream as a simple sequence of numbers, ignoring the semantics of the data, so entropy coding is applicable to media without regard to its own specific characteristics. Source coding is used where correlated data is separated from uncorrelated data in the original data. The method considers the semantics of the original data and achieves the compression of the initial data stream by eliminating irrelevant data. Source coding is often a lossy method, with the original data stream being similar but not identical to the coded data stream. Hybrid coding is a combination of entropy coding and source coding techniques, and usually several different entropy coding and source coding techniques are organized together to form a new hybrid coding method.

Currently, when performing image compression coding based on moving object motion information, the same motion detection and compression coding is performed on all moving objects without considering personalized information of different moving objects, and obviously, such a coding mode is not flexible enough, for example, when a detection window contour for performing motion detection does not match with a moving object contour, it is inevitable to waste a part of the detection window or omit a part of the moving object motion during detection.

Disclosure of Invention

In order to solve the related problems in the field of compression coding, the invention provides a detection window self-defining and shaping system and a detection window self-defining and shaping method, which can self-define the contour of a detection window for motion detection based on the contour of a moving object in an image to be coded, and also can self-define the number of adjacent images for motion detection based on the depth of field of the moving object in the image to be coded, thereby improving the intelligent degree of a compression coding mechanism.

Therefore, the present invention needs to have at least two important points:

(1) carrying out self-defining operation of a detection window for detecting motion information on a motion object in image data subjected to targeted processing to be coded, so that the detection window is matched with the contour of the motion object, and the search data volume is reduced while the search efficiency of the motion object is ensured;

(2) in a specific image data encoding process, the shallower the depth of field of a moving object is, the fewer the number of adjacent images for performing motion information analysis of the moving object is, thereby improving the degree of intelligence of image encoding.

According to an aspect of the present invention, there is provided a detection window custom shaping system, the system comprising:

the visual detection mechanism is internally provided with an optical imaging lens, is arranged at a competition place and is used for performing visual detection operation on competition scenes when a competition is carried out so as to obtain multi-frame detection images with different timestamps.

More specifically, in the detection window custom shaping system, the method further includes:

and the image restoration mechanism is connected with the vision detection mechanism and used for executing restoration processing on each detected frame of image based on the optical characteristics of the optical imaging lens so as to obtain a corresponding instant restoration frame.

More specifically, in the detection window custom shaping system, the method further includes:

the first enhancement equipment is connected with the image restoration mechanism and is used for performing enhancement processing on adjacent image content with over-limited color contrast on each received instant restoration frame to obtain a first enhanced image;

the second enhancement device is connected with the first enhancement device and is used for performing enhancement processing on adjacent image content with over-limited contrast on the received first enhancement image to obtain a second enhancement image;

a characteristic judgment device connected to the second enhancement device, for performing object class analysis on each object in the second enhanced image, and judging whether the corresponding object belongs to a moving object based on the analyzed class;

a contour detection device connected to the characteristic determination device for performing the following operations for each moving object in the second enhanced image: acquiring an edge shape of an image area occupied by the moving object as a contour of the moving object;

a window mapping mechanism, connected to the contour detection device, for performing the following operations on each moving object in the second enhanced image: defining a contour of a detection window for performing motion detection on the moving object based on the contour of the moving object;

wherein defining a contour of a detection window for performing motion detection on the moving object based on the contour of the moving object comprises: a contour of a detection window that performs motion detection on the moving object is matched with a contour of the moving object;

wherein a detection window for performing motion detection on the moving object is used for a plurality of second enhanced images adjacent to the moving object to realize resolution of a motion direction and a motion amplitude of the moving object;

wherein the detection window for performing motion detection on the moving object is used for a plurality of adjacent second enhanced images in which the moving object exists to realize the analysis of the motion direction and the motion amplitude of the moving object comprises: the shallower the depth of field of the moving object, the fewer the number of the second enhanced images adjacent to the moving object in the detection window for performing the motion detection on the moving object;

wherein performing an object class analysis on each object in the second enhanced image and determining whether the corresponding object belongs to a moving object based on the analyzed class comprises: identifying an object class of each object in the second enhanced image based on color imaging features or appearance imaging features of various objects present at a venue;

wherein the object categories include playing pieces, athletes, referees, spectators, seats, and railings;

wherein performing an object class analysis on each object in the second enhanced image and determining whether the corresponding object belongs to a moving object based on the analyzed class further comprises: and when the analyzed type is a game, an athlete, a referee or a spectator, judging that the corresponding object belongs to the moving object.

According to another aspect of the present invention, there is also provided a detection window custom shaping method, including:

the visual detection mechanism is used, an optical imaging lens is arranged in the visual detection mechanism, the optical imaging lens is arranged at a competition place, and the visual detection mechanism is used for performing visual detection operation on competition scenes when a competition is carried out so as to obtain multi-frame detection images with different timestamps.

More specifically, in the detection window custom shaping method, the method further includes:

and an image restoration mechanism connected with the vision detection mechanism and used for executing restoration processing on each frame of detection image based on the optical characteristics of the optical imaging lens so as to obtain a corresponding instant restoration frame.

More specifically, in the detection window custom shaping method, the method further includes:

using a first enhancement device, connected to said image recovery mechanism, for performing enhancement processing of adjacent image content with color contrast overrun on each received instantaneous recovery frame to obtain a first enhanced image;

using a second enhancement device, connected to said first enhancement device, for performing enhancement processing of adjacent image content with an out-of-contrast limit on the received first enhanced image to obtain a second enhanced image;

a usage characteristic determination device connected to the second enhancement device, for performing object class analysis on each object in the second enhanced image, and determining whether the corresponding object belongs to a moving object based on the analyzed class;

using a contour detection device, connected to the characteristic determination device, for performing the following operations for each moving object in the second enhanced image: acquiring an edge shape of an image area occupied by the moving object as a contour of the moving object;

using a window mapping mechanism, connected to the contour detection device, for performing the following operations for each moving object in the second enhanced image: defining a contour of a detection window for performing motion detection on the moving object based on the contour of the moving object;

wherein defining a contour of a detection window for performing motion detection on the moving object based on the contour of the moving object comprises: a contour of a detection window that performs motion detection on the moving object is matched with a contour of the moving object;

wherein a detection window for performing motion detection on the moving object is used for a plurality of second enhanced images adjacent to the moving object to realize resolution of a motion direction and a motion amplitude of the moving object;

wherein the detection window for performing motion detection on the moving object is used for a plurality of adjacent second enhanced images in which the moving object exists to realize the analysis of the motion direction and the motion amplitude of the moving object comprises: the shallower the depth of field of the moving object, the fewer the number of the second enhanced images adjacent to the moving object in the detection window for performing the motion detection on the moving object;

wherein performing an object class analysis on each object in the second enhanced image and determining whether the corresponding object belongs to a moving object based on the analyzed class comprises: identifying an object class of each object in the second enhanced image based on color imaging features or appearance imaging features of various objects present at a venue;

wherein the object categories include playing pieces, athletes, referees, spectators, seats, and railings;

wherein performing an object class analysis on each object in the second enhanced image and determining whether the corresponding object belongs to a moving object based on the analyzed class further comprises: and when the analyzed type is a game, an athlete, a referee or a spectator, judging that the corresponding object belongs to the moving object.

The detection window self-defining shaping system and method provided by the invention are compact in structure and intelligent in operation. The image coding strategy aiming at the moving target can be customized based on the related information of the moving target in the image to be coded, so that the operation load of executing image coding is reduced.

Detailed Description

Embodiments of the detection window custom shaping system and method of the present invention are described in detail below.

Digital images, images represented in the form of two-dimensional digital groups whose digital elements are the picture elements, the correct application of digital images generally requires knowledge of the relationship between the digital image and the phenomena observed, i.e. geometrical and photometric or sensor calibration, the field of digital image processing being the study of their transformation algorithms.

Digital images, also known as digital images or digital images, are representations of two-dimensional images with finite digital number pixels. Represented by an array or matrix, whose illumination locations and intensities are discrete. Digital images are pixel-based images digitized from analog images that can be stored and processed by digital computers or digital circuits. The pixels are discretized into a continuous space when the analog image is digitized. Each pixel has an integer number of row (height) and column (width) position coordinates, while each pixel has an integer number of grayscale or color values.

Currently, when performing image compression coding based on moving object motion information, the same motion detection and compression coding is performed on all moving objects without considering personalized information of different moving objects, and obviously, such a coding mode is not flexible enough, for example, when a detection window contour for performing motion detection does not match with a moving object contour, it is inevitable to waste a part of the detection window or omit a part of the moving object motion during detection.

In order to overcome the defects, the invention builds the detection window custom setting system and the detection window custom setting method, and can effectively solve the corresponding technical problem.

The detection window custom shaping system shown according to the embodiment of the invention comprises:

the visual detection mechanism is internally provided with an optical imaging lens, is arranged at a competition place and is used for performing visual detection operation on competition scenes when a competition is carried out so as to obtain multi-frame detection images with different timestamps.

Next, the specific structure of the detection window custom setting system of the present invention will be further described.

The detection window custom shaping system further comprises:

and the image restoration mechanism is connected with the vision detection mechanism and used for executing restoration processing on each detected frame of image based on the optical characteristics of the optical imaging lens so as to obtain a corresponding instant restoration frame.

The detection window custom shaping system further comprises:

the first enhancement equipment is connected with the image restoration mechanism and is used for performing enhancement processing on adjacent image content with over-limited color contrast on each received instant restoration frame to obtain a first enhanced image;

the second enhancement device is connected with the first enhancement device and is used for performing enhancement processing on adjacent image content with over-limited contrast on the received first enhancement image to obtain a second enhancement image;

a characteristic judgment device connected to the second enhancement device, for performing object class analysis on each object in the second enhanced image, and judging whether the corresponding object belongs to a moving object based on the analyzed class;

a contour detection device connected to the characteristic determination device for performing the following operations for each moving object in the second enhanced image: acquiring an edge shape of an image area occupied by the moving object as a contour of the moving object;

a window mapping mechanism, connected to the contour detection device, for performing the following operations on each moving object in the second enhanced image: defining a contour of a detection window for performing motion detection on the moving object based on the contour of the moving object;

wherein defining a contour of a detection window for performing motion detection on the moving object based on the contour of the moving object comprises: a contour of a detection window that performs motion detection on the moving object is matched with a contour of the moving object;

wherein a detection window for performing motion detection on the moving object is used for a plurality of second enhanced images adjacent to the moving object to realize resolution of a motion direction and a motion amplitude of the moving object;

wherein the detection window for performing motion detection on the moving object is used for a plurality of adjacent second enhanced images in which the moving object exists to realize the analysis of the motion direction and the motion amplitude of the moving object comprises: the shallower the depth of field of the moving object, the fewer the number of the second enhanced images adjacent to the moving object in the detection window for performing the motion detection on the moving object;

wherein performing an object class analysis on each object in the second enhanced image and determining whether the corresponding object belongs to a moving object based on the analyzed class comprises: identifying an object class of each object in the second enhanced image based on color imaging features or appearance imaging features of various objects present at a venue;

wherein the object categories include playing pieces, athletes, referees, spectators, seats, and railings;

wherein performing an object class analysis on each object in the second enhanced image and determining whether the corresponding object belongs to a moving object based on the analyzed class further comprises: and when the analyzed type is a game, an athlete, a referee or a spectator, judging that the corresponding object belongs to the moving object.

In the detection window custom shaping system:

performing object class analysis on each object in the second enhanced image, and determining whether the corresponding object belongs to a moving object based on the analyzed class further includes: and when the analyzed type is a seat or a railing, judging that the corresponding object belongs to a non-moving object.

The detection window custom shaping system further comprises:

an information encoding device connected to the window mapping mechanism for performing motion encoding on each moving object in the second enhanced image based on the detection window of each moving object in the second enhanced image to compress image data;

wherein the contour detection apparatus and the window mapping mechanism do not perform a contour detection operation and a window mapping operation on each non-moving object in the second enhanced image.

The detection window custom shaping method provided by the embodiment of the invention comprises the following steps:

the visual detection mechanism is used, an optical imaging lens is arranged in the visual detection mechanism, the optical imaging lens is arranged at a competition place, and the visual detection mechanism is used for performing visual detection operation on competition scenes when a competition is carried out so as to obtain multi-frame detection images with different timestamps.

Next, the specific steps of the detection window custom shaping method of the present invention will be further described.

The detection window custom shaping method can further comprise the following steps:

and an image restoration mechanism connected with the vision detection mechanism and used for executing restoration processing on each frame of detection image based on the optical characteristics of the optical imaging lens so as to obtain a corresponding instant restoration frame.

The detection window custom shaping method can further comprise the following steps:

using a first enhancement device, connected to said image recovery mechanism, for performing enhancement processing of adjacent image content with color contrast overrun on each received instantaneous recovery frame to obtain a first enhanced image;

using a second enhancement device, connected to said first enhancement device, for performing enhancement processing of adjacent image content with an out-of-contrast limit on the received first enhanced image to obtain a second enhanced image;

a usage characteristic determination device connected to the second enhancement device, for performing object class analysis on each object in the second enhanced image, and determining whether the corresponding object belongs to a moving object based on the analyzed class;

using a contour detection device, connected to the characteristic determination device, for performing the following operations for each moving object in the second enhanced image: acquiring an edge shape of an image area occupied by the moving object as a contour of the moving object;

using a window mapping mechanism, connected to the contour detection device, for performing the following operations for each moving object in the second enhanced image: defining a contour of a detection window for performing motion detection on the moving object based on the contour of the moving object;

wherein defining a contour of a detection window for performing motion detection on the moving object based on the contour of the moving object comprises: a contour of a detection window that performs motion detection on the moving object is matched with a contour of the moving object;

wherein a detection window for performing motion detection on the moving object is used for a plurality of second enhanced images adjacent to the moving object to realize resolution of a motion direction and a motion amplitude of the moving object;

wherein the detection window for performing motion detection on the moving object is used for a plurality of adjacent second enhanced images in which the moving object exists to realize the analysis of the motion direction and the motion amplitude of the moving object comprises: the shallower the depth of field of the moving object, the fewer the number of the second enhanced images adjacent to the moving object in the detection window for performing the motion detection on the moving object;

wherein performing an object class analysis on each object in the second enhanced image and determining whether the corresponding object belongs to a moving object based on the analyzed class comprises: identifying an object class of each object in the second enhanced image based on color imaging features or appearance imaging features of various objects present at a venue;

wherein the object categories include playing pieces, athletes, referees, spectators, seats, and railings;

wherein performing an object class analysis on each object in the second enhanced image and determining whether the corresponding object belongs to a moving object based on the analyzed class further comprises: and when the analyzed type is a game, an athlete, a referee or a spectator, judging that the corresponding object belongs to the moving object.

The detection window custom shaping method comprises the following steps:

performing object class analysis on each object in the second enhanced image, and determining whether the corresponding object belongs to a moving object based on the analyzed class further includes: and when the analyzed type is a seat or a railing, judging that the corresponding object belongs to a non-moving object.

The detection window custom shaping method can further comprise the following steps:

a use information encoding device, connected to the window mapping mechanism, for performing motion encoding on each moving object in the second enhanced image based on the detection window of each moving object in the second enhanced image to compress image data;

wherein the contour detection apparatus and the window mapping mechanism do not perform a contour detection operation and a window mapping operation on each non-moving object in the second enhanced image.

In addition, in the detection window self-defining shaping system and the detection window self-defining shaping method, the coding standard used by the information coding equipment is an MPEG-4 coding standard.

Compared with MPEG-1 and MPEG-2, MPEG-4 is characterized by being more suitable for interactive AV services and remote monitoring. MPEG-4 is the first dynamic image standard to change you from passive to active (no longer just watching, allowing you to join it, i.e. with interactivity), another feature of which is its comprehensiveness. Fundamentally, MPEG-4 attempts to blend natural objects with man-made objects (in the visual sense). The design goal of MPEG-4 is also wider adaptability and more flexible scalability.

MPEG is known as Moving Pictures Experts Group, which is an english abbreviation of "Moving Pictures Experts Group", which was established in 1988 and is dedicated to the standardization of compression coding of Moving Pictures and their accompanying sounds, and originally they intend to develop four versions of MPEG1, MPEG2, MPEG3 and MPEG4 to meet the requirements of different bandwidths and digital image qualities.

Currently, the MPEG1 technology is widely used for VCD, and the MPEG2 standard is used for broadcast tv, DVD, and the like. MPEG3 was originally a coding and compression standard developed for HDTV, but MPEG3 only died of swaddling due to the excellent performance of MPEG 2. MPEG4 is a scheme suitable for low transmission rate applications. Compared to MPEG1 and MPEG2, MPEG4 focuses more on the interactivity and flexibility of multimedia systems.

The foregoing description of the invention has been presented for purposes of illustration and description. It is not intended to be exhaustive or to limit the invention to the precise form disclosed. The breadth and scope of the present invention should not be limited by any of the above-described exemplary embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art. Such modifications and variations include any relevant combination of the features disclosed. The embodiments were chosen and described in order to best explain the principles of the invention and its practical applications, to thereby enable others skilled in the art to understand the invention for various embodiments and with various modifications as are suited to the particular use contemplated. It is intended that the scope of the invention be defined by the following claims and their equivalents.