公开(公告)号：US20230362367A1

公开(公告)日：2023-11-09

申请号：US18333067

申请日：2023-06-12

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Anubhav SINGH ,  Aviral AGRAWAL ,  Raj Narayana GADDE ,  H Keerthan BHAT ,  Yinji PIAO ,  Minwoo PARK ,  Kwangpyo CHOI

IPC: H04N19/119 ,  H04N19/117 ,  H04N19/80 ,  H04N19/42 ,  H04N19/176

CPC classification number: H04N19/119 ,  H04N19/117 ,  H04N19/80 ,  H04N19/42 ,  H04N19/176

Abstract: An example method for training AI models for in-loop filters includes generating a training dataset by passing a video through a codec pipeline, extracting one or more predefined block features from the training dataset, creating a plurality of clusters based on the extracted one or more predefined block features from the training dataset, dividing the plurality of clusters into a sub-plurality of clusters based on the extracted one or more predefined block features and an intra-cluster variation threshold, and supplying the sub-plurality of clusters separately into a plurality of AI models based on the extracted one or more predefined block features.