US Patent Issued to GOOGLE on April 21 for "Tap-constrained convolutional cross-component model prediction" (California Inventors)

ALEXANDRIA, Va., April 21 -- United States Patent no. 12,610,046, issued on April 21, was assigned to GOOGLE LLC (Mountain View, Calif.).

"Tap-constrained convolutional cross-component model prediction" was invented by Xiang Li (Saratoga, Calif.), In Suk Chong (Mountain View, Calif.), Debargha Mukherjee (Cupertino, Calif.), Cheng Chen (Milpitas, Calif.), Yaowu Xu (Saratoga, Calif.) and Jingning Han (Santa Clara, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Tap-constrained convolutional cross-component model (CCCM) prediction enables hardware coder implementations of CCCM prediction by limiting the number of taps used to predict chroma samples while maintaining accuracy in the prediction. During enco...