Cross-Component Chroma Prediction for Higher Video Coding Efficiency

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Solution Overview

Problem

Existing video signal processing methods lack efficiency in coding, particularly in handling chroma components relative to luma components, leading to suboptimal compression and decoding performance.

Innovation Solution

Implementing a cross-component prediction (CCP) list for deriving a chroma component block of a current block from a luma component block, selecting one CCP model candidate, and reordering the CCP merge list based on cost, utilizing predefined CCP models and parameters derived from neighboring blocks.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If conventional video compression techniques are used, then basic spatial and temporal correlation is removed, but coding efficiency remains suboptimal

Engineering Contradiction:

Improvecoding efficiencyVSAvoidchroma component prediction accuracy

Core Design Contradiction:

ProductivityVSLoss of information

Solution Approach 1:

The patent changes the parameter of chroma prediction by introducing cross-component prediction that derives chroma components from luma components using multiple CCP models. This involves changing the prediction approach from traditional spatial/temporal methods to luma-based cross-component methods with adjustable model parameters, thereby improving coding efficiency while maintaining chroma accuracy

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The patent implements dynamic selection of CCP models by configuring a CCP list and reordering it based on cost functions. The system dynamically adapts to different block characteristics by selecting the most appropriate CCP model candidate, improving both coding efficiency and prediction accuracy adaptively

Inventive Principle:

Principle #15Dynamics

2Measurement precision

If multiple CCP model candidates are configured, then chroma prediction accuracy improves, but processing complexity increases

Engineering Contradiction:

Improvechroma component derivation accuracyVSAvoidCCP list configuration and model selection complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent applies partial action by selecting only one CCP model candidate from the configured CCP list for each block based on cost evaluation. Rather than applying all models, the system performs partial selection of the most suitable model, maintaining prediction accuracy while reducing processing complexity compared to using all models

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The patent segments the chroma prediction process by dividing it into multiple CCP model candidates that can be independently evaluated and selected. Each CCP model represents a separate prediction approach, allowing the system to segment the complex prediction task into manageable alternatives and choose the best one

Inventive Principle:

Principle #1Segmentation

Data Source

PatentEP4708861A1Video signal processing method, and device therefor

Publication Date: 2026.03.11 WILUS INSTITUTE OF STANDARDS & TECHNOLOGY INC

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AI summary

The video signal decoding device may comprise a processor, wherein the processor configures a cross-component prediction (CCP) list for deriving a chroma component block of a current block from a luma component block of the current block, selects one CCP model candidate in the CCP list, and derives the chroma component block of the current block on the basis of the one CCP model candidate.