Block Vector Candidate Lists for Efficient Video Chroma Coding

The patent segments the video processing into separate luma and chroma prediction processes. The chroma block vector candidate list is constructed independently from luma prediction results, allowing specialized optimization for chroma components while maintaining overall coding efficiency. This segmentation enables targeted improvements without compromising overall video quality.

The patent performs preliminary construction of chroma block vector candidate lists using luma prediction results before final chroma prediction. By pre-processing and preparing candidate blocks based on luma data, the system reduces the computational complexity of chroma prediction while improving accuracy, thus enhancing coding efficiency without losing chroma information quality.

The chroma prediction system serves itself by utilizing luma prediction results to construct chroma block vector candidate lists. The luma prediction process automatically provides reference data that chroma prediction can directly use, eliminating the need for separate, complex chroma motion estimation and reducing overall computational complexity while maintaining coding efficiency.

The luma prediction results serve multiple functions: they are used for luma prediction itself and simultaneously serve as the basis for constructing chroma block vector candidate lists. This multi-functionality reduces redundant computations and simplifies the overall prediction process, improving coding efficiency without significantly increasing device complexity.