Video Decoding QP Signaling for Adaptive Coding Unit Splitting
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Solution Overview
Problem
Existing video encoding and decoding methods for high-resolution images using square coding units result in image quality deterioration due to uniform shape splitting, necessitating improved methods for coding unit splitting.
Innovation Solution
A method for efficiently transmitting and obtaining quantization parameter (QP) differences at the picture and slice levels, allowing for non-square coding units and adaptive splitting based on shape information, thereby enhancing image reconstruction quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If square coding units are used for uniform splitting, then the coding process is simple, but image quality deteriorates due to uniform shape splitting in high-resolution images
Solution Approach 1:
The patent segments the coding unit splitting process into multiple stages: first dividing the picture into tiles, then dividing each tile into coding tree units (CTUs), and finally dividing CTUs into coding units. This multi-level segmentation allows different splitting strategies at different levels, enabling non-uniform coding unit shapes while maintaining systematic processing.
Solution Approach 2:
The patent applies different splitting characteristics to different regions of the image. By introducing tile-based division and allowing variable splitting ratios at different locations, the system adapts the coding unit shape and size to local image characteristics, improving image quality while maintaining coding efficiency.
2Quantity of substance
If QP difference value information is transmitted at the picture header level, then data transmission efficiency is improved, but the ability to represent slice-level QP variations is reduced
Solution Approach 1:
The patent segments QP difference value information into two levels: picture header level (for common QP differences) and slice header level (for slice-specific QP differences). This segmentation allows efficient transmission of common information at the picture level while preserving the ability to represent slice-level variations when needed.
Solution Approach 2:
The patent uses a flag indicator to signal whether QP difference value information is present at the picture header or slice header. This partial action approach allows the system to transmit only the necessary level of QP information for each picture or slice, optimizing data transmission efficiency while maintaining adaptability.
3Adaptability or versatility
If QP difference value information is transmitted at the slice header level, then slice-level QP variations are accurately represented, but data transmission efficiency is reduced
Solution Approach 1:
The patent segments QP difference value information into two levels: picture header level (for common QP differences) and slice header level (for slice-specific QP differences). This segmentation allows efficient transmission of common information at the picture level while preserving the ability to represent slice-level variations when needed.
Solution Approach 2:
The patent uses a flag indicator to signal whether QP difference value information is present at the picture header or slice header. This partial action approach allows the system to transmit only the necessary level of QP information for each picture or slice, optimizing data transmission efficiency while maintaining adaptability.
4Manufacturing precision
If non-square coding units are used, then image quality is improved through adaptive splitting, but the complexity of the coding process increases
Solution Approach 1:
The patent segments the coding unit splitting process into multiple stages: first dividing the picture into tiles, then dividing each tile into coding tree units (CTUs), and finally dividing CTUs into coding units. This multi-level segmentation allows different splitting strategies at different levels, enabling non-uniform coding unit shapes while maintaining systematic processing.
Solution Approach 2:
The patent introduces dynamic splitting ratios and coding unit shapes that can vary based on image characteristics and region-specific requirements. The system can adaptively choose different splitting patterns (e.g., 1:2, 2:1, 1:4, 4:1) to optimize image quality while managing processing complexity through structured decision-making frameworks.
Data Source
AI summary
Provided is a video decoding method including: obtaining, from a picture parameter set, a quantization parameter (QP) initial value to be applied to a current picture, and picture header QP difference value information; when the picture header QP difference value information indicates that QP difference value information is present in a picture header of the current picture, obtaining a first QP difference value for the current picture from the picture header; determining a QP for a coding unit included in the current picture, by using the QP initial value and the first QP difference value; obtaining transform coefficients of the coding unit by performing inverse quantization on the coding unit by using the QP; and reconstructing the coding unit by using the transform coefficients.