SUR-FeatNet: Predicting the Satisfied User Ratio Curvefor Image
Compression with Deep Feature Learning

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SUR-FeatNet: Predicting the Satisfied User Ratio Curvefor Image Compression with Deep Feature Learning

Quality and User Experience (QUE), 2020

7 January 2020

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Papers citing "SUR-FeatNet: Predicting the Satisfied User Ratio Curvefor Image Compression with Deep Feature Learning"

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Title
Predicting Satisfied User and Machine Ratio for Compressed Images: A Unified Approach Tao Gui Shanshe Wang Xinfeng Zhang Siwei Ma Jingshan Pan Wen Gao 156 1 0 23 Dec 2024
SG-JND: Semantic-Guided Just Noticeable Distortion Predictor For Image CompressionInternational Conference on Information Photonics (ICIP), 2024 Linhan Cao Wei Sun Xiongkuo Min Jun Jia Zicheng Zhang ... Yucheng Zhu Lizhou Liu Qiubo Chen Jing Chen Guangtao Zhai 110 4 0 08 Aug 2024
Perceptual Video Coding for Machines via Satisfied Machine Ratio ModelingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Tao Gui Shanshe Wang Xinfeng Zhang Chuanmin Jia Jingshan Pan Siwei Ma Wen Gao 186 6 0 13 Nov 2022