Video Processing Cross-Component Prediction Mapping
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Solution Overview
Problem
Conventional video coding techniques, such as MPEG-2, MPEG-4, ITU-T.263, ITU-T.264/AVC, HEVC, and VVC, suffer from low coding efficiency, which is undesirable for digital video applications.
Innovation Solution
The proposed method involves determining mapping relationships between different color components, specifically luma and chroma values, to perform cross-component prediction during video processing, thereby improving coding effectiveness and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional video coding techniques are used, then the implementation is straightforward, but the coding efficiency is low
Solution Approach 1:
The patent applies parameter changes by establishing mapping relationships between luma and chroma components, transforming the coding approach from independent component handling to correlated prediction. The cross-component prediction uses luma values to predict chroma values through learned mapping functions, changing the fundamental parameters of how color components are encoded and improving coding efficiency without excessive complexity increase
Solution Approach 2:
The patent introduces an intermediary mechanism by using luma values as a mediator to predict chroma values. Instead of encoding chroma independently, the system uses luma as an intermediate reference to derive chroma predictions, reducing the information that needs to be transmitted while maintaining visual quality
2Productivity
If cross-component prediction is implemented, then coding efficiency is improved, but the processing complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-establishing mapping relationships between luma and chroma components during the encoding process. These mapping relationships are derived and stored beforehand, allowing the decoder to efficiently reconstruct chroma values without performing complex real-time calculations, thus improving coding effectiveness while controlling processing complexity
Solution Approach 2:
The patent segments the video coding process into distinct stages: luma encoding, mapping relationship establishment, and chroma prediction based on luma values. This segmentation allows each component to be processed independently with optimized algorithms, improving overall coding effectiveness while managing complexity through modular processing
Data Source
AI summary
Embodiments of the present disclosure provide a solution for video processing. A method for video processing is proposed. The method comprises: determining, during a conversion between a target video block of a video and a bitstream of the video, at least one mapping relationship between a first set of values of a first color component and a second set of values of a second color component; determining a cross-component prediction of the target video block based on the at least one mapping relationship; and performing the conversion based on the cross-component prediction.