Cross-Component Intra Prediction Mode Derivation for Video Coding Efficiency
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional video coding techniques face limitations in improving coding efficiency and reducing bitrates while maintaining quality, particularly in deriving modes for cross-component intra prediction in video processing.
Innovation Solution
A method is proposed where target modes for cross-component intra prediction are derived based on reconstructed or predicted samples of neighboring blocks, rather than being signaled in the bitstream, to enhance coding efficiency and reduce bitrates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If target modes for cross-component intra prediction are signaled in the bitstream, then decoding accuracy is improved, but coding efficiency deteriorates and bitrate increases
Solution Approach 1:
The decoder derives the target mode for cross-component intra prediction autonomously using neighboring sample data, without requiring explicit signaling from the encoder. This self-service approach eliminates the need for mode indication bits in the bitstream, thereby improving coding efficiency while maintaining decoding accuracy through consistent derivation at both encoder and decoder sides
Solution Approach 2:
The target mode is pre-derived at the encoder side using neighboring reconstructed or predicted samples, and the same derivation process is performed at the decoder side. This preliminary action ensures that both encoder and decoder arrive at the same mode selection without requiring communication of the mode information, thus reducing bitrate while preserving decoding accuracy
2Adaptability or versatility
If target modes for cross-component intra prediction are signaled in the bitstream, then mode selection flexibility is improved, but bitrate increases
Solution Approach 1:
Both encoder and decoder independently derive the target mode using the same algorithm based on neighboring samples, eliminating the need to signal mode information. This self-service mechanism maintains mode selection flexibility through adaptive derivation while avoiding bitrate increase by removing explicit mode signaling
Solution Approach 2:
The target mode is determined dynamically by changing parameters such as gradient calculations and neighboring sample values, allowing flexible mode selection adapted to local image characteristics. This parameter-based derivation provides adaptability without requiring additional bits for mode signaling, as the mode is inferred from image content parameters
Data Source
AI summary
Embodiments of the present disclosure provide a method for video processing. The method comprises: determining, during a conversion between a current chroma block of a video and a bitstream of the video, a set of target modes of cross component intra prediction (CCIP) for the current chroma block based on reconstructed samples or predicted samples of neighboring samples of the current chroma block; and performing the conversion based on the set of target modes. Compared with the conventional solution, the proposed method can advantageously improve coding efficiency.


