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

Claim 12:
13. An apparatus for neural network (NN) based cross component prediction with low-bit precision during encoding or decoding, the apparatus comprising:
at least one memory configured to store program code; and
at least one processor configured to read the program code and operate as instructed by the program code, the program code comprising:
reconstructing code configured to 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;
updating code configured to cause the at least one processor to update one or more parameters of the pre-trained DNN CCP model with low-bit precision;
generating code configured to cause the at least one processor to generate an updated DNN CCP model for chroma prediction with low-bit precision based on at least one video sequence; and
predicting code configured to cause the at least one processor to 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.