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

Claim 0:
1. A method for neural network (NN) based cross component prediction with low-bit precision during encoding or decoding, the method being executed by one or more processors, the method comprising:
reconstructing a chroma component based on a received luma component using a pre-trained deep neural network (DNN) cross component prediction (CCP) model for chroma prediction;
updating one or more parameters of the pre-trained DNN CCP model with low-bit precision;
generating an updated DNN CCP model for chroma prediction with low-bit precision based on at least one video sequence; and
using 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.