SYSTEM AND METHOD FOR TRAINING ARTIFICIAL INTELLIGENCE MODELS FOR IN-LOOP FILTERS

SYSTEM AND METHOD FOR TRAINING ARTIFICIAL INTELLIGENCE MODELS FOR IN-LOOP FILTERS

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...

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Bibliographische Detailangaben
Hauptverfasser: CHOI, Kwangpyo, AGRAWAL, Aviral, BHAT, H Keerthan, PARK, Minwoo, SINGH, Anubhav, GADDE, Raj Narayana, PIAO, Yinji
Format: Patent
Sprache:eng
Schlagworte:
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
PICTORIAL COMMUNICATION, e.g. TELEVISION
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Zusammenfassung: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.