Asymmetric Quantization for Cross-Component Sample Offset Filtering
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Solution Overview
Problem
Existing video coding technologies face challenges in effectively reducing redundancy in uncompressed video signals, particularly in cross-component sample offset filtering, which affects storage and transmission efficiency.
Innovation Solution
Implementing an asymmetric quantizer for cross-component sample offset filtering, where a quantizer is selected based on syntax elements in the video bitstream to apply CCSO filters, allowing for improved quantization of sample deltas and subsequent offset application to enhance filtering efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a symmetric quantizer is used for CCSO filtering, then the quantization process is simple and standardized, but the filtering efficiency and redundancy reduction are insufficient
Solution Approach 1:
The patent applies asymmetry by introducing an asymmetric quantizer that uses different quantization step sizes for positive and negative sample deltas. This allows the quantizer to adapt to the actual distribution of delta values in the video signal, improving filtering efficiency and redundancy reduction while maintaining manageable complexity through structured parameter configuration
2Productivity
If multiple quantizers are used to improve redundancy reduction, then the video coding efficiency improves, but the signaling complexity increases
Solution Approach 1:
The patent uses parameter changes by allowing dynamic selection of quantizer parameters (including asymmetric quantization parameters) based on video content characteristics. This enables the system to adapt quantization behavior to different video scenarios, improving coding efficiency while controlling signaling overhead through parameter-based adaptation rather than complex structural changes
3Productivity
If asymmetric quantization is applied to all sample deltas, then redundancy reduction is maximized, but the processing time increases
Solution Approach 1:
The patent applies local quality by selectively applying asymmetric quantization only where needed based on the characteristics of each sample delta region. This allows the system to maximize redundancy reduction in areas with high variability while using simpler quantization in uniform regions, thereby improving overall coding efficiency without proportionally increasing processing time
Data Source
AI summary
This disclosure describes aspects of advanced video coding technologies and is particular related to cross-component sample offset (CCSO) filtering of reconstructed samples. For example, a quantizer for quantizing sample deltas in order to apply a CCSO filter may be constructed as an asymmetric quantizer with respect to zero sample delta. Either a symmetric or an asymmetric quantizer may be selected for processing sample deltas prior to applying a CCSO filter. An asymmetric quantizer may relate to a corresponding symmetric quantizer by a non-zero offset. Signaling of a selection of an asymmetric quantizer may be provided separately from or dependent on a signaling of a symmetric quantizer.