- Patent Title: Content-weighted deep residual learning for video in-loop filtering
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Application No.: US16184842Application Date: 2018-11-08
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Publication No.: US10863206B2Publication Date: 2020-12-08
- Inventor: Yizin Du , Jian Lou , Yu-Chen Sun
- Applicant: Alibaba Group Holding Limited
- Applicant Address: KY Grand Cayman
- Assignee: Alibaba Group Holding Limited
- Current Assignee: Alibaba Group Holding Limited
- Current Assignee Address: KY Grand Cayman
- Agency: Lee & Hayes, P.C.
- Main IPC: H04N19/82
- IPC: H04N19/82 ; G06K9/62 ; H04N19/86

Abstract:
Systems and methods are provided for improving filtering performance and Bjøntegaard-Delta (BD) rate savings for video processing. In addition to computing the artifacts between a given compressed image and a restored clean image after filtering using Deep Residual Learning (DRL) for recovering the residual between input and output, filtering strength of a loop filter may be controlled by the content of the region of the image, such that, in more important areas, such as the face and edges, the filtering strength may be increased while in less important areas, such as textures and backgrounds, the filtering strength may be decreased.
Public/Granted literature
- US20200154145A1 CONTENT-WEIGHTED DEEP RESIDUAL LEARNING FOR VIDEO IN-LOOP FILTERING Public/Granted day:2020-05-14
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