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An Intra-frame Prediction Method for Video Coding Based on Image Texture Features

A technology for video coding and intra-frame prediction, applied in image communication, digital video signal modification, electrical components, etc., can solve the problem of not considering the redundant process of the CU division process, avoid RDO calculation, reduce computational complexity, and reduce The effect of coding complexity

Active Publication Date: 2018-11-23
XIAMEN UNIV
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Problems solved by technology

However, these two modes are only optimized from the mode selection of each CU depth, without considering the greater redundancy process in the CU division process

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  • An Intra-frame Prediction Method for Video Coding Based on Image Texture Features
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  • An Intra-frame Prediction Method for Video Coding Based on Image Texture Features

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Embodiment Construction

[0041] The present invention includes a fast division method of a coding unit CU and a fast selection method of a prediction mode. The HEVC video image is first coded and divided in units of LCU (Large Coding Unit), its size is 64×64, and the corresponding depth is 0. Inside the LCU, the sub-blocks are divided and coded cyclically and iteratively according to the quadtree structure, and when the minimum size of 8×8 (corresponding to a depth of 3) is reached, the next LCU code is entered. For the CU of each depth, HEVC finds the prediction mode with the smallest rate-distortion cost RDcost as the best prediction mode of the current depth by traversing the 35 prediction modes, and finally determines the optimal division and the best prediction through continuous comparison and update model. In the intra prediction process, HEVC introduces PU (Prediction Unit) as the basic unit of prediction. The size of the PU is 2N×2N or N×N. Only when the CU size is 8×8, the PU is further di...

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Abstract

The invention relates to a video coding intra-frame prediction method based on image texture features, relating to video information processing in the field of digital video communication. The video coding intra-frame prediction method comprises the following steps: calculating out the number of strong edges of a current CU (Control Unit), an angle prediction mode list related to a gradient amplitude value and two strong threshold values for a CU division process by utilizing a gradient histogram of the current CU at first; performing CU depth skipping or early termination of CU division when the strong edges of the current CU satisfy a selected threshold value in the intra-frame prediction process; and directly selecting a proper number of modes as candidate prediction modes from the predication mode list according to image texture conditions in the best candidate mode selecting stage. By CU depth and predication modes cutting, the HEVC (High Efficiency Video Coding) intra-frame prediction coding complexity can be effectively reduced; and the real-time application of an HEVC coder is facilitated.

Description

technical field [0001] The invention relates to video information processing in the field of digital video communication, in particular to a video coding intra-frame prediction method based on image texture features. Background technique [0002] With the continuous development of mobile Internet and multimedia technology, digital TV, Internet TV, video conferencing, etc. can be seen everywhere. There is an increasing demand for high-definition and ultra-high-definition video. Facing the development trend of today's video applications towards high definition, high frame rate, and high compression rate, the currently widely used video coding standard H.264 has gradually appeared some limitations. In this situation, the two major standard organizations VCEG and MPEG jointly established the JCT-VC (Joint Collaborative Team on Video Coding) organization in 2010, and began to formulate a new generation of video coding standards HEVC (High Efficiency Video Coding, high-efficiency...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/61H04N19/172
Inventor 郭杰锋陈国忠黄联芬赵毅峰高志斌
Owner XIAMEN UNIV
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