Inter-Component Prediction in Multi-Component Video Coding
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Solution Overview
Problem
Existing multi-component picture or video coding methods, such as those using the R′G′B′ to Y′CbCr conversion, often result in non-optimal compression efficiency due to fixed transforms and lack of effective inter-component prediction (ICP) between color components, limiting the ability to further enhance coding efficiency.
Innovation Solution
Implement a decoder and encoder that reconstruct and encode multi-component pictures or videos by spatially sampling different components, utilizing inter-component prediction (ICP) to improve coding efficiency by switching between ICP and non-ICP modes at sub-picture granularity, and applying linear prediction with adjustable weights and context modeling to reduce signaling overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If fixed transform (R′G′B′ to Y′CbCr conversion) is applied, then color space conversion is achieved, but compression efficiency is limited due to non-optimal local decorrelation
Solution Approach 1:
The patent applies dynamic inter-component prediction that adapts to local characteristics of the image content. Instead of using a fixed transform for all regions, the system dynamically selects prediction modes and adjusts prediction parameters based on local color component correlations, enabling optimal decorrelation for each region while maintaining coding efficiency
Solution Approach 2:
The patent implements local inter-component prediction where different prediction strategies are applied to different regions of the image based on local characteristics. The system analyzes local color correlations and applies appropriate prediction modes (e.g., predicting chroma from luma, or chroma from chroma) selectively in different areas, achieving locally optimal compression without requiring complex per-pixel analysis
2Productivity
If inter-component prediction is applied to improve compression efficiency, then decorrelation between color components increases, but signaling overhead increases
Solution Approach 1:
The patent applies inter-component prediction selectively rather than universally. The system determines when ICP provides sufficient benefit to justify the signaling overhead, applying prediction only in regions where color components exhibit strong correlations. This partial application approach balances compression gains against the cost of transmitting prediction mode information and parameters
Solution Approach 2:
The patent employs context modeling that adapts prediction parameters based on local image characteristics. The system changes prediction parameters (such as prediction mode, reference component selection, and transformation coefficients) dynamically according to the local content, allowing efficient representation of diverse image regions while minimizing the average signaling overhead through context-aware parameter selection
Data Source
AI summary
The coding efficiency of a multi-component picture or video coding concept is improved by reconstructing a third component signal relating to a third component of the multi-component video using inter-component prediction from both a reconstructed first component signal and a reconstructed second component signal.