Transform Skip Mode Selection for Lower-Complexity Video Coding
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Solution Overview
Problem
Existing video coding standards face challenges in efficiently handling transform skip modes and transform types, particularly in high-resolution video, leading to increased bandwidth demand and computational complexity.
Innovation Solution
The proposed methods include determining the usage of transform skip modes based on coding information of current blocks and representative blocks, applying identity transforms, partitioning blocks, and using coefficient reordering and reordering maps to optimize video processing, thereby reducing redundancy and complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If transform skip mode is used for video coding, then bandwidth demand is reduced, but coding complexity increases due to mode selection
Solution Approach 1:
The system uses representative coefficients from previously decoded blocks to automatically determine transform skip mode for current blocks, eliminating the need for complex encoder-side mode selection and side information signaling. The decoder autonomously makes coding decisions based on decoded data patterns.
Solution Approach 2:
The system determines transform skip mode usage in advance by analyzing representative coefficients from previously decoded blocks before encoding the current block. This preliminary determination simplifies the encoding process and reduces real-time computational complexity.
2Productivity
If transform skip mode is used for high-resolution video, then computational complexity is reduced, but image quality may deteriorate
Solution Approach 1:
The system applies transform skip mode selectively based on local characteristics of representative coefficients from previously decoded blocks. Different blocks receive different transform modes according to their specific patterns, optimizing both compression efficiency and reconstruction quality for each local region.
Solution Approach 2:
The system uses feedback from representative coefficients of previously decoded blocks to adaptively determine transform skip mode for current blocks. This feedback mechanism allows the system to learn from past decoding results and adjust coding strategies to maintain image quality while reducing computational complexity.
Data Source
AI summary
Methods, system and apparatus for video processing are described. One example method of processing video data includes performing a conversion between a current block of a video and a bitstream of the video according to a rule. The rule specifies that whether a transform skip mode is enabled is determined based on coding information of the current block. The transform skip mode is a coding mode in which a transform is skipped on a prediction residual of a video block.