Patent ID: 11949892
Assignee: TENCENT AMERICA LLC
Field: Audio-visual technology (Electrical engineering)
Classification: CPC H  G | IPC G  H

Claim 18:
19. A non-transitory computer readable medium storing instructions that, when executed by at least one processor for neural network (NN) based cross component prediction with low-bit precision during encoding or decoding, cause the at least one processor to:
reconstruct a chroma component based on a received luma component using a pre-trained DNN CCP model for chroma prediction;
update one or more parameters of the pre-trained DNN CCP model with low-bit precision;
generate an updated DNN CCP model for chroma prediction with low-bit precision based on at least one video sequence; and
use the updated DNN CCP model for cross component prediction of the at least one video sequence at reduced processing time, wherein the updated DNN CCP model uses a low-bit precision during inference, and wherein the low-bit precision format is one of FP16, INT8, INT4, INT2, and INT1.