Video Block Prediction Fusion for Cross-Component Coding
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Solution Overview
Problem
Existing video coding technologies, such as MPEG-2, MPEG-4, ITU-T.263, ITU-T.264/MPEG-4 AVC, ITU-T.265 HEVC, and VVC, face challenges in improving coding efficiency and effectiveness.
Innovation Solution
Implementing a cross-component prediction (CCP) model that fuses multiple predictions for video blocks, using a first CCP candidate and a second prediction to enhance coding efficiency and effectiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional video coding technologies (MPEG-2, MPEG-4, AVC, HEVC, VVC) are used, then video compression is achieved, but coding efficiency and effectiveness are insufficient
Solution Approach 1:
The patent merges multiple prediction methods by fusing the first prediction (from first CCP candidate) and the second prediction (from second CCP candidate) to generate a fused prediction for the current video block. This combination of multiple prediction sources improves both coding efficiency and effectiveness by leveraging complementary information from different prediction candidates.
Solution Approach 2:
The patent creates a composite prediction signal by combining multiple prediction candidates (first CCP candidate and second CCP candidate) into a fused prediction. This composite approach integrates strengths from different prediction sources, achieving superior coding performance compared to single prediction methods.
2Reliability
If a single prediction method is used for video blocks, then processing is simple, but coding effectiveness is limited
Solution Approach 1:
The patent applies partial fusion by selectively fusing predictions only for specific video blocks where multiple CCP candidates are available and beneficial. This approach improves coding effectiveness without unnecessarily increasing complexity for all blocks, achieving a balanced solution.
Solution Approach 2:
The fused prediction acts as an intermediary that combines information from multiple CCP candidates. This intermediate fused prediction then serves as the basis for encoding the current video block, simplifying the overall process while improving effectiveness compared to evaluating multiple separate predictions.
Data Source
AI summary
Embodiments of the present disclosure provide a solution for video processing. A method for video processing is proposed. In the method, for a conversion between a current video block of a video and a bitstream of the video, a first prediction of the current video block is determined based on a first cross component prediction (CCP) candidate in a CCP candidate list for the current video block. A fused prediction is determined based on the first prediction and a second prediction of the current video block. The conversion is performed based on the fused prediction.


