ALEXANDRIA, Va., Sept. 3 -- United States Patent no. 12,407,811, issued on Sept. 2, was assigned to TENCENT AMERICA LLC (Palo Alto, Calif.).

"DNN-based cross component prediction" was invented by Sheng Lin (San Jose, Calif.), Wei Jiang (Sunnyvale, Calif.), Wei Wang (Palo Alto, Calif.), Liqiang Wang (Palo Alto, Calif.), Shan Liu (San Jose, Calif.) and Xiaozhong Xu (State College, Pa.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and methods for deep neural network (DNN)-based cross component prediction are provided. A method includes inputting a reconstructed luma block of an image or video into a DNN; and predicting, by the DNN, a reconstructed chroma block of the image or video based on the reconst...