Video Coding Transform Skip Coefficient Concentration
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Solution Overview
Problem
The AVS standard's scan region based coefficient coding (SRCC) technique does not effectively concentrate non-zero coefficients, leading to inefficiencies in rotation and similar operations, as it does not consider the distribution of coding information for arranging coefficients.
Innovation Solution
A method is introduced that performs flipping or rotation operations on video data based on selecting a scan region based coefficient coding definition to concentrate coding coefficients within a scan region, allowing for efficient decoding and encoding of video data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional scan region based coefficient coding is used, then the coding process is simple, but non-zero coefficients are not effectively concentrated leading to inefficiency
Solution Approach 1:
The patent applies flipping or rotation operations to the video data before coefficient coding to pre-position non-zero coefficients within a concentrated scan region. This preliminary arrangement of coefficients before the main coding process improves coding efficiency by ensuring better concentration of non-zero values, while the complexity added is limited to simple geometric transformations.
2Productivity
If flipping or rotation operations are applied to concentrate coefficients, then coding efficiency improves, but processing complexity increases
Solution Approach 1:
Flipping and rotation operations are performed as preliminary steps before coefficient coding and decoding. These operations pre-arrange the coefficient distribution to concentrate non-zero values in the scan region, improving both encoding and decoding efficiency. The complexity introduced is minimal since these are standard image processing operations with well-established algorithms.
Solution Approach 2:
The patent applies different processing operations (flipping, rotation) to different regions or blocks of video data based on local characteristics. By adapting the transformation type to local coefficient distribution patterns, the method concentrates non-zero coefficients more effectively in each local region while maintaining overall processing efficiency.
Data Source
AI summary
A method, computer program, and computer system is provided for video coding. Video data having one or more coding coefficients is received. A flipping or rotation operation is performed on the received video data based on selecting a scan region based coefficient coding definition to concentrate the coding coefficients in a scan region. The video data is decoded based on the selected scan region based coefficient coding definition.