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SMR: Satisfied Machine Ratio Modeling for Machine Recognition-Oriented Image and Video Compression. (arXiv:2211.06797v1 [cs.CV])
Nov. 15, 2022, 2:15 a.m. | Qi Zhang, Shanshe Wang, Xinfeng Zhang, Chuanmin Jia, Jingshan Pan, Siwei Ma, Wen Gao
cs.CV updates on arXiv.org arxiv.org
Tons of images and videos are fed into machines for visual recognition all
the time. Like human vision system (HVS), machine vision system (MVS) is
sensitive to image quality, as quality degradation leads to information loss
and recognition failure. In recent years, MVS-targeted image processing,
particularly image and video compression, has emerged. However, existing
methods only target an individual machine rather than the general machine
community, thus cannot satisfy every type of machine. Moreover, the MVS
characteristics are not well …
arxiv compression image machine modeling video video compression
More from arxiv.org / cs.CV updates on arXiv.org
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