Adaptive CCSO Filtering Parameters for Video Coding Overhead Trade-Off
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Solution Overview
Problem
Existing video coding technologies face challenges in efficiently reducing redundancy in uncompressed digital video signals while maintaining high filtering quality, particularly in cross-component sample offset filtering, which often results in increased overhead due to fixed filter parameter settings.
Innovation Solution
Adaptive cross-component sample offset (CCSO) filtering allows varying filter parameters within a frame, enabling selection from multiple candidate combinations, including filter shape, quantization step size, and number of bands, with signaling options in the bitstream to optimize filtering quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If CCSO filter parameters are allowed to vary from filtering unit to filtering unit, then filtering quality is improved, but signaling overhead increases
Solution Approach 1:
The patent applies local quality by allowing different CCSO filter parameters to be used in different filtering units within a frame. Each filtering unit can select from candidate combinations of parameters based on its local characteristics, enabling adaptive filtering that matches local content requirements while maintaining overall quality.
Solution Approach 2:
The patent implements dynamics by making CCSO filter parameters adaptable and variable across different filtering units rather than static and uniform. The parameters can be selected from candidate combinations based on local content characteristics, enabling the filtering process to dynamically adjust to different regions of the video frame.
2Loss of information
If CCSO filter parameters are kept uniform across all filtering units, then signaling overhead is reduced, but filtering quality deteriorates
Solution Approach 1:
The patent resolves this contradiction by introducing local quality variations through filtering unit-level parameter selection. Each filtering unit can choose from candidate parameter combinations based on its local content characteristics, ensuring that filtering quality is optimized for each region without requiring full parameter transmission for every unit.
Solution Approach 2:
The patent applies partial action by allowing selective parameter variation only where needed. Instead of fully adaptive parameters for every filtering unit, the system uses a candidate combination approach where only certain units or regions utilize parameter variation, balancing quality improvement with overhead reduction.
3Adaptability or versatility
If more candidate combinations of CCSO filtering parameters are provided, then filtering adaptability is improved, but device complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the parameter space into discrete candidate combinations. Instead of allowing continuous parameter variation, the system pre-defines a finite set of parameter combinations that can be selected by each filtering unit, simplifying management while maintaining adaptability.
Solution Approach 2:
The patent implements parameter changes by allowing filtering units to select from different candidate combinations of CCSO parameters. This enables the system to adapt filtering characteristics to local content requirements while managing complexity through a finite set of predefined parameter sets rather than continuous parameter spaces.
Data Source
AI summary
This disclosure describes a set of advanced video coding technologies and is particular related to cross-component sample offset (CCSO) filtering of reconstructed samples. For example, CCSO filter parameters may be allowed to vary from a filtering unit to another filtering unit. A filtering unit may be a filtering block or a filtering region containing multiple spatially adjacent filtering blocks in a reconstructed frame. Corresponding allowed options of CCSO filter parameter combinations may be specified. Each filtering unit may select from the allowed combination options. The selected combination options may be signaled in the bitstream or derived in some other manners. Allowing such CCSO filter parameter variation within a frame may provide filtering quality gain that outweighs a cost of overhead in signaling.


