Cross-Component Linear Intra Prediction for Multi-Chroma Video Coding
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Solution Overview
Problem
Current video coding technologies struggle with supporting chroma formats other than 4:2:0, leading to issues such as coder crashes when formats like 4:4:4 or 4:2:2 are used, which is undesirable for various digital video applications.
Innovation Solution
A method and apparatus for intra prediction using a cross-component linear model that adjusts down-sampling filters based on the chroma format, allowing for improved coding efficiency by determining specific filter sets for different chroma formats, such as 4:2:0, 4:2:2, and 4:4:4, to enhance chroma prediction accuracy and reduce prediction errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a video coder is designed to support multiple chroma formats (4:4:4, 4:2:2), then the adaptability and versatility of the coder is improved, but the device complexity and potential for coding errors increase
Solution Approach 1:
The patent applies parameter changes by adapting the down-sampling filter selection based on the chroma format parameter. Different chroma formats (4:2:0, 4:2:2, 4:4:4) trigger different filter selection behaviors, allowing the coder to handle multiple formats while maintaining optimized performance for each specific format through parameter-driven configuration changes.
2Measurement precision
If down-sampling filters are applied to luma samples for chroma prediction, then the chroma prediction accuracy is improved, but the computational complexity and processing time increase
Solution Approach 1:
The patent applies local quality by selecting different down-sampling filter configurations based on the specific chroma format being used. Instead of applying a uniform filtering approach, the system tailors the filter selection to the local requirements of each chroma format, applying more aggressive filtering only when beneficial for the specific format, thereby optimizing the balance between prediction accuracy and processing efficiency.
Solution Approach 2:
The patent implements dynamics by making the down-sampling filter selection adaptive rather than static. The filter configuration changes dynamically based on the chroma format parameter, allowing the system to optimize processing time for each format while maintaining prediction accuracy where needed. This dynamic adaptation prevents unnecessary computational overhead for formats that don't require aggressive filtering.
3Adaptability or versatility
If chroma format 4:4:4 or 4:2:2 is used with existing coder architecture, then the adaptability is improved, but coding errors and crashes occur
Solution Approach 1:
The patent resolves this contradiction through parameter-driven configuration changes. When the chroma format parameter indicates 4:4:4 or 4:2:2, the system automatically adjusts the down-sampling filter selection parameters to appropriate configurations, preventing the coding errors and crashes that would occur with incompatible filter settings. This parameter adaptation ensures both format compatibility and coder stability simultaneously.
Data Source
AI summary
The present disclosure relates to the field of picture processing. In particular, the present disclosure relates to improving intra prediction (such as the chroma intra prediction) using a cross component linear model (CCLM) and, more particularly, relating to spatial filtering used in a cross-component linear model for intra prediction with different chroma formats. An apparatus, an encoder, a decoder and corresponding methods for cross-component prediction for a picture, in which the set of down-sampling filters applied during the prediction depends on a chroma format, that may be one of multiple supported chroma formats are provided, so as to improve coding efficiency.