Invention Grant
- Patent Title: Quality-adaptive neural network-based loop filter with smooth quality control by meta-learning
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Application No.: US17703292Application Date: 2022-03-24
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Publication No.: US11750847B2Publication Date: 2023-09-05
- Inventor: Wei Jiang , Wei Wang , Sheng Lin , Xiaozhong Xu , Shan Liu
- Applicant: TENCENT AMERICA LLC
- Applicant Address: US CA Palo Alto
- Assignee: TENCENT AMERICA LLC
- Current Assignee: TENCENT AMERICA LLC
- Current Assignee Address: US CA Palo Alto
- Agency: Sughrue Mion, PLLC
- Main IPC: H04N19/82
- IPC: H04N19/82 ; H04N19/86 ; H04N19/117

Abstract:
A method and apparatus of for video enhancement based on neural network based loop filtering using meta learning may include receiving reconstructed video data; receiving one or more quality factors associated with the reconstructed video data; determining a neural network based loop filter comprising neural network based loop filter parameters and a plurality of layers, wherein the neural network based loop filter parameters include shared parameters and adaptive parameters; and generating enhanced video data with artefact reduction, based on the one or more quality factors and the reconstructed video data, using a neural network based loop filter, wherein the neural network based loop filter comprises neural network based loop filter parameters that include shared parameters and adaptive parameters.
Public/Granted literature
- US20220345752A1 QUALITY-ADAPTIVE NEURAL NETWORK-BASED LOOP FILTER WITH SMOOTH QUALITY CONTROL BY META-LEARNING Public/Granted day:2022-10-27
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