Non-Dyadic Residual Coding Groups for Better Bitstream Compression
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Solution Overview
Problem
Existing video coding standards face inefficiencies in handling non-dyadic blocks, leading to suboptimal bandwidth usage and compression performance.
Innovation Solution
A method for processing video data that involves determining the width and height of coding groups based on non-dyadic blocks, applying specific conversion rules to ensure the coding group size is set to k×N, where k is a positive integer, and performing conversions to optimize bitstream processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing video coding standards are used for non-dyadic blocks, then processing is simpler, but compression efficiency deteriorates and bandwidth usage increases
Solution Approach 1:
The transform block is divided into multiple coding groups, where each coding group can be independently processed. This segmentation allows the use of different coding strategies for different regions, improving overall compression efficiency while managing complexity through modular processing.
Solution Approach 2:
The coding group size is made dynamic and adaptive based on the block dimensions. For non-dyadic blocks, the coding group size is determined by the largest dyadic value less than or equal to the block dimension, allowing the system to adapt to varying block sizes and maintain optimal compression performance.
2Productivity
If non-dyadic blocks are processed with fixed coding group sizes, then processing is simpler, but transmission efficiency deteriorates
Solution Approach 1:
The coding group size parameter is changed dynamically based on the block dimensions. By using the largest dyadic value less than or equal to the block dimension, the system optimizes transmission efficiency for non-dyadic blocks while maintaining a systematic approach to parameter determination.
3Loss of energy
If dyadic block processing rules are applied to non-dyadic blocks, then coding is simpler, but bandwidth usage increases
Solution Approach 1:
Different processing rules are applied to dyadic and non-dyadic blocks. For non-dyadic blocks, the coding group size is determined by the largest dyadic value less than or equal to the block dimension, creating an asymmetric processing approach that reduces bandwidth usage while handling the complexity of varying block sizes.
Data Source
AI summary
A method for processing video data, a non-transitory computer readable medium, and an apparatus for processing video data are disclosed. The method includes determining a width (w) and a height (h) of a coding group based on a width (W) and a height (H) of a block that is non-dyadic and contains residual; and performing a conversion between a visual media data and a bitstream based on application of the coding group to the block.