Chrominance Quantization Parameter Derivation in Video Coding
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Solution Overview
Problem
Current video compression technologies face challenges in balancing compression efficiency and computational complexity, particularly in handling luminance and chrominance components during boundary partitioning in video coding standards like H.265/HEVC, which affects coding complexity and picture quality.
Innovation Solution
The method involves separate partitioning of luminance and chrominance components using various tree structures, determining quantization parameter values for chrominance blocks based on differential quantization parameters signaled in the bitstream and existing quantization parameters of collocated luminance blocks and neighboring blocks, reducing signaling overhead and enhancing coding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If separate partitioning of luminance and chrominance components is applied, then coding efficiency is improved, but computational complexity increases
Solution Approach 1:
The patent applies different partitioning strategies to different components (luminance and chrominance) based on their specific characteristics. Luminance components receive more detailed partitioning while chrominance components use coarser partitioning, optimizing the balance between coding efficiency and computational complexity for each component type.
Solution Approach 2:
The patent segments the video picture into separate luminance and chrominance components, then further segments them into different coding tree blocks and coding units. This multi-level segmentation allows independent optimization of each component's processing, improving overall coding efficiency while managing computational complexity through hierarchical structure.
2Loss of substance
If quantization parameter derivation uses existing parameters from luminance blocks and neighboring blocks, then signaling overhead is reduced, but measurement precision of chrominance-specific parameters decreases
Solution Approach 1:
The patent uses luminance block quantization parameters and neighboring chrominance block parameters as intermediary references to derive chrominance block quantization parameters. This intermediary approach allows efficient parameter derivation that reduces signaling overhead while maintaining sufficient precision through the use of multiple reference sources.
Solution Approach 2:
The patent creates a universal quantization parameter derivation mechanism that works for both luminance and chrominance components by using a common set of reference parameters (luminance block QPs and neighboring block QPs). This multi-functional approach simplifies the signaling process while ensuring adequate parameter precision across different component types.
Data Source
AI summary
A method for inverse quantization of a current block of a picture is performed by a decoder, and the picture comprises a luminance component and a chrominance component, wherein the luminance component and the chrominance component are partitioned into multiple blocks. The method includes: obtaining one or more existing quantization parameter (QP) values from a received bitstream, wherein the one or more existing QP values relate to a current block in the chrominance component; determining a QP value for the current block in the chrominance component based on the one or more existing QP values; and performing inverse quantization on the current block in the chrominance component by using the determined QP value.