- 专利标题: Video compression using deep generative models
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申请号: US16826221申请日: 2020-03-21
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公开(公告)号: US11729406B2公开(公告)日: 2023-08-15
- 发明人: Amirhossein Habibian , Ties Jehan Van Rozendaal , Taco Sebastiaan Cohen
- 申请人: QUALCOMM Incorporated
- 申请人地址: US CA San Diego
- 专利权人: QUALCOMM INCORPORATED
- 当前专利权人: QUALCOMM INCORPORATED
- 当前专利权人地址: US CA San Diego
- 代理机构: Patterson + Sheridan, LLP
- 主分类号: H04N19/14
- IPC分类号: H04N19/14 ; H04N19/124 ; H04N19/179 ; H04N19/186 ; H04N19/46 ; H04N5/247 ; G06K9/00 ; G06K9/62 ; G06N3/04 ; G06N3/08 ; H04N19/20 ; G06N3/084 ; G06V20/40 ; G06F18/21 ; G06N3/044 ; G06N3/045 ; G06N3/047 ; H04N23/90 ; G06V10/764 ; G06V10/82
摘要:
Certain aspects of the present disclosure are directed to methods and apparatus for compressing video content using deep generative models. One example method generally includes receiving video content for compression. The received video content is generally encoded into a latent code space through an encoder, which may be implemented by a first artificial neural network. A compressed version of the encoded video content is generally generated through a trained probabilistic model, which may be implemented by a second artificial neural network, and output for transmission.
公开/授权文献
- US20200304802A1 VIDEO COMPRESSION USING DEEP GENERATIVE MODELS 公开/授权日:2020-09-24
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