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A Method of Optimizing Hevc Residual Coding Using the Distribution Characteristics of Residual Coefficients and Bayes Theorem

A Bayesian theorem and residual coefficient technology, applied in the field of high-resolution video coding, can solve the problems of long coding time and great loss of coding quality, and achieve the effect of increasing coding time

Active Publication Date: 2017-05-10
SHANGHAI UNIV
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  • Abstract
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  • Application Information

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Problems solved by technology

This method saves a lot of encoding time, but the loss of encoding quality is relatively large

Method used

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  • A Method of Optimizing Hevc Residual Coding Using the Distribution Characteristics of Residual Coefficients and Bayes Theorem
  • A Method of Optimizing Hevc Residual Coding Using the Distribution Characteristics of Residual Coefficients and Bayes Theorem
  • A Method of Optimizing Hevc Residual Coding Using the Distribution Characteristics of Residual Coefficients and Bayes Theorem

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Embodiment 1

[0035] A method for optimizing HEVC residual coding using the distribution characteristics of residual block coefficients and Bayesian theorem (see figure 1 ) includes the following steps:

[0036] (1) Input video sequence: read each frame of the video sequence according to the order set in the control file,

[0037] (2) Intra / Inter: Intra prediction and inter prediction are performed on the luminance and chrominance values ​​of each frame of the image to obtain the residual

[0038] coefficient,

[0039] (3) TU early termination judgment: according to the residual coefficient, the texture judgment or

[0040] Carry out Bayesian model judgment to decide whether to stop block encoding in advance,

[0041] (4) DCT transformation and quantization: perform DCT transformation and quantization on the entire TU to obtain quantization parameters,

[0042] (5) Entropy coding: Entropy coding is performed on the quantized coefficients, and finally output in the form of a bit stream. ...

Embodiment 2

[0043] Embodiment two: the present embodiment is basically the same as embodiment one, and the special features are as follows: (see Figure 2 to Figure 10 )

[0044] Above-mentioned step (2) is to carry out intraframe and interframe prediction to input video sequence, see figure 2 , the specific steps are as follows:

[0045] (2-1) Intra-frame prediction is to use the coded reference pixels around the coded block (left and top) to predict the current block to eliminate the spatial redundancy of the video image; inter-frame prediction refers to the frames before and after the frame where the coded block is located Motion estimation and motion compensation are performed on it to eliminate temporal redundancy of the video sequence. HEVC selects the optimal intra-frame and inter-frame prediction modes from multiple intra-frame and inter-frame candidate modes according to the optimal rate-distortion criterion. The rate-distortion cost function is:

[0046] (1)

[0047] in ...

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Abstract

The invention relates to a method for optimizing residual coding by using residual coefficient distribution features and bayes theorem. The method comprises the following steps of (1) reading each frame of images in a video sequence according to a sequence set in a control file; (2) performing intra-frame prediction and inter-frame prediction on the brightness and the chromatic value of each frame of images so as to obtain a residual coefficient; (3) performing texture judgment or bayes model judgment on a residual block TU (the maximum is 32*32) according to the residual coefficient so as to judge whether block encoding is required to be stopped ahead of time or not; (4) performing DCT (discrete cosine transform) and quantification on the whole residual block TU so as to obtain a quantification parameter; and (5) performing entropy encoding on the quantification coefficient, and finally outputting the quantification coefficient in a bit stream mode. By the method, the video encoding speed is increased under the condition that the loss on the encoding quality can be ignored, and videos can be conveniently acquired in real time.

Description

technical field [0001] The invention relates to the technical field of high-resolution video coding, in particular to a method for optimizing HEVC residual coding by using residual coefficient distribution characteristics and Bayesian theorem, which is suitable for high-resolution video coding and real-time video collection. Background technique [0002] In recent years, due to the rapid development of multimedia technology, new technologies such as high-definition television (HDTV), 3D stereoscopic video, and video communication have gradually become familiar to everyone, and people have been brought into a new video era. While all these technologies provide people with a variety of high-quality video enjoyment, they also put forward higher requirements for video coding technology. Among them, one of the most important features is that compared with the previous standard-definition two-dimensional video, these new technologies have to deal with a larger amount of data. The ...

Claims

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Application Information

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IPC IPC(8): H04N19/00H04N19/61H04N19/625H04N19/91H04N19/96
Inventor 沈礼权赵文强曹志明胡乾乾赵振军
Owner SHANGHAI UNIV
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