Video Decoding Inverse Rearrangement for SRCC Region Reduction
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Solution Overview
Problem
Current video coding methods face inefficiencies due to the difficulty in reducing the size of the scan region coefficient coding (SRCC) region, especially when residual energy is concentrated in the lower right corner of a residual block, affecting video coding efficiency.
Innovation Solution
The method involves inversely rearranging the inverse quantization coefficient matrix to concentrate non-zero coefficients in the left, upper, and upper left regions, thereby reducing the SRCC region size during coding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If transform skipping is used to directly skip the transform process of residuals, then the transform processing time is reduced, but the residual energy remains concentrated in the lower right corner making it difficult to reduce the SRCC region size
Solution Approach 1:
The patent applies inverse rearrangement to the coefficient matrix, specifically rotating it 180 degrees or flipping it along diagonals, to invert the position distribution of residual energy. This transforms the concentration pattern from lower right corner to upper left corner, enabling effective SRCC region reduction while maintaining transform skipping benefits
Solution Approach 2:
The patent changes the arrangement parameter of the coefficient matrix by applying different rotation angles (90, 180, 270 degrees) or flip directions (main diagonal, anti-diagonal, horizontal, vertical). This parameter transformation repositions the residual energy concentration area to match the SRCC coding requirements
2Device complexity
If coefficient coding is performed directly on transform residuals, then the coding process is simplified, but non-zero coefficients are not concentrated in the upper left corner reducing coefficient coding efficiency
Solution Approach 1:
The patent performs preliminary rearrangement of the coefficient matrix before coefficient coding. By pre-positioning non-zero coefficients to concentrate in the upper left corner through rotation or flip operations, the coding process can proceed efficiently without requiring complex adaptive positioning mechanisms during coding
Data Source
AI summary
A video decoding method includes: performing entropy decoding on a coding block of a video image frame to obtain a quantization coefficient block of residual data corresponding to the coding block; inversely quantizing the quantization coefficient block to obtain an inverse quantization coefficient matrix; inversely rearranging the inverse quantization coefficient matrix to obtain a processed coefficient matrix, non-zero coefficients in the processed coefficient matrix being concentrated in left, upper and upper left regions of the coefficient matrix; and generating the residual data according to the processed coefficient matrix.