A Prediction Method Based on Video Compression

A prediction method and video compression technology, applied in the fields of digital video signal modification, image communication, electrical components, etc., can solve the problems of compression, unable to further reduce the theoretical limit entropy, unable to guarantee the video compression quality, etc., to ensure the compression quality, reduce the The effect of theoretical limit entropy

Active Publication Date: 2020-12-18
宁波镇海昕龙网络科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, for such complex textures, the existing video compression methods cannot compress according to the characteristics of texture changes in the image to be compressed, and cannot further reduce the theoretical limit entropy, so that the quality of video compression cannot be guaranteed.

Method used

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  • A Prediction Method Based on Video Compression
  • A Prediction Method Based on Video Compression
  • A Prediction Method Based on Video Compression

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0064] See figure 1 , figure 1 It is a schematic flowchart of a prediction method based on video compression provided by an embodiment of the present invention. The forecasting method includes the following steps:

[0065] Obtain the first residual absolute value sum of the MB to be predicted;

[0066] Obtaining the second sum of absolute residuals of the MB to be predicted;

[0067] Acquiring the first standard deviation and the second standard deviation of the MB to be predicted;

[0068] Selecting the minimum value of the first residual subjective sum and the second residual subjective sum, and using the prediction mode corresponding to the minimum value to predict the MB to be predicted.

[0069] The present invention selects two prediction methods to predict the same image to be compressed. When the texture of the predicted image to be compressed is relatively complex, both prediction methods predict the image to be compressed, and then the effects of the two predicti...

Embodiment 2

[0085] See figure 2 with image 3 , figure 2 It is a schematic diagram of an algorithm principle of a pixel-level component reference prediction method provided by an embodiment of the present invention, image 3 A schematic diagram of a reference pixel position provided by an embodiment of the present invention. The prediction method of the pixel-level component reference includes the following steps:

[0086] Step 1, defining that the pixel to be predicted of the MB to be predicted has K pixel components, wherein K is a natural number greater than 0;

[0087] Step 2. For each pixel component of the pixel to be predicted, determine the gradient values ​​G1-GN of the N texture directions corresponding to each pixel component through the surrounding pixel components of the pixel component;

[0088] Preferably, the surrounding components of the pixel component to be predicted may or may not be adjacent to the pixel component to be predicted; image 3 As shown, CUR represe...

Embodiment 3

[0104] See Figure 4 ~ Figure 6 , Figure 4 It is a schematic diagram of a segmentation method of an MB to be predicted provided by an embodiment of the present invention, Figure 5 It is a schematic diagram of another MB segmentation method to be predicted provided by the embodiment of the present invention, Image 6 It is a schematic diagram of yet another segmentation manner of an MB to be predicted provided by an embodiment of the present invention. The prediction method based on MB segmentation comprises the following steps:

[0105] In the present invention, the encoding object may be a 64×64 image MB, or a 16×16 image MB, or an image MB with a smaller or larger size.

[0106] The prediction method of the present embodiment includes the following steps:

[0107] Step 1. Segment the MB to be predicted according to different segmentation methods;

[0108] Specifically, such as Figure 4As shown, the MB to be predicted is divided according to the horizontal segmentati...

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Abstract

The invention relates to a prediction method based on video compression, comprising: obtaining the first residual absolute value sum of the to-be-predicted MB; obtaining the second residual absolute value sum of the to-be-predicted MB; obtaining the first standard deviation and the second standard deviation of the to-be-predicted MB; obtaining a first residual subjective sum according to the firstresidual absolute value and the first standard deviation; obtaining a second residual subjective sum according to the second residual absolute value and the second standard deviation; selecting a minimum value of the first residual subjective sum and the second residual subjective sum; and using the prediction method corresponding to the minimum value to predict the to-be-predicted MB. Accordingto the prediction method based on video compression, a variety of prediction methods are selected for predicting the to-be-compressed image, so that an optimal prediction method can be selected from avariety of prediction methods when the texture of the to-be-compressed image is complex, and therefore, the portion of the to-be-compressed image where the texture is complex can be predicted, and the compression quality of the to-be-compressed image can be guaranteed.

Description

technical field [0001] The invention relates to the technical field of video compression, in particular to a prediction method based on video compression. Background technique [0002] With the continuous progress of computer technology, microelectronics technology and communication technology. People are not only satisfied with the means of communication such as voice, telegraph, e-mail, etc. Because of a series of advantages such as intuitiveness and reliability, video communication has become a hot spot for new application requirements. For example, applications such as remote monitoring, remote teaching, remote medical diagnosis, remote shopping, remote visitation, and video conference calls all urgently need the support of high-quality network video transmission. [0003] There is a lot of redundancy in the video data, that is, there is a strong correlation between the pixel data of the image. Using these correlations, the data of some pixels can be derived from the ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/59H04N19/176H04N19/13
CPCH04N19/13H04N19/176H04N19/59
Inventor 应玉龙田林海李雯岳庆东
Owner 宁波镇海昕龙网络科技有限公司
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