Abstract
Region-based cross-component prediction parameter derivation improves convolutional cross-component mode (CCCM) prediction by enabling filter coefficients for predicting chroma samples from luma samples to be derived for an entire region of a frame of a video stream, such as a coding tree unit (CTU), rather than requiring that such filter coefficients be derived for each individual coding unit (CU). Deriving the filter coefficients for an entire region instead of for each individual CU under processing significantly reduces the latency in video coding and thus enables CCCM prediction to be used in hardware coders. The filter coefficients for the region are derived using reconstructed luma and chroma samples from one or more references regions spatially co-located with the region within one or more reference frames of the frame that includes the region.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Li, Xiang and Mukherjee, Debargha, "Region-Based Cross-Component Prediction Parameter Derivation", Technical Disclosure Commons, (December 20, 2024)
https://www.tdcommons.org/dpubs_series/7674