Chroma Intra Prediction Using Luma Correlation

The patent divides the chroma prediction process into multiple stages: first determining prediction mode information from luma blocks, then using this information to guide chroma prediction. This segmentation allows the system to maintain high prediction accuracy even with larger block sizes by breaking down the complex prediction task into manageable steps that leverage correlated luma-chroma relationships.

The patent introduces luma prediction mode information as an intermediary element that mediates between luma and chroma data. By first analyzing luma blocks to determine prediction modes and then using this intermediate information to guide chroma prediction, the system achieves better accuracy than direct chroma prediction alone, especially for larger blocks where direct prediction would fail.

The patent performs preliminary analysis of luma blocks to determine prediction mode information before applying chroma prediction. This preliminary action allows the system to pre-determine which prediction modes are most likely to be effective for the corresponding chroma blocks, thereby reducing the need to encode multiple prediction method options and decreasing the overall encoding information required.

The patent establishes a feedback mechanism where luma prediction mode determination informs subsequent chroma prediction mode selection. By using the determined luma prediction modes as feedback to guide chroma prediction, the system can accurately select prediction methods without requiring extensive encoding information to specify multiple alternatives, thus improving accuracy while controlling bitrate.