Invention Grant
- Patent Title: Convolutional neural network based synthesized view quality enhancement for video coding
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Application No.: US16160659Application Date: 2018-10-15
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Publication No.: US11064180B2Publication Date: 2021-07-13
- Inventor: Tak Wu Sam Kwong , Linwei Zhu , Yun Zhang
- Applicant: City University of Hong Kong
- Applicant Address: HK Kowloon
- Assignee: City University of Hong Kong
- Current Assignee: City University of Hong Kong
- Current Assignee Address: HK Kowloon
- Agency: Norton Rose Fulbright US LLP
- Main IPC: H04N13/122
- IPC: H04N13/122 ; H04N13/161 ; H04N13/111 ; G06T5/00 ; G06N3/08 ; G06T5/20

Abstract:
Systems and methods which provide Convolutional Neural Network (CNN) based synthesized view quality enhancement for video coding are described. Embodiments may comprise an encoder configured for CNN based synthesized view quality enhancement configured to provide improved coding efficiency while maintaining synthesized view quality. Additionally or alternatively, embodiments may comprise a virtual viewpoint generator configured for CNN based synthesized view quality enhancement configured provide post-processing of the synthesized view at the decoder side to reduce the artifacts. CNN based synthesized view quality enhancement may, for example, be provided for 3D video coding to improve its coding efficiency, which can be utilized in 3D scenarios, such as 3DTV.
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