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Semantically Video Coding: Instill Static-Dynamic Clues into Structured Bitstream for AI Tasks. (arXiv:2201.10162v1 [cs.CV])
Jan. 26, 2022, 2:10 a.m. | Xin Jin, Ruoyu Feng, Simeng Sun, Runsen Feng, Tianyu He, Zhibo Chen
cs.CV updates on arXiv.org arxiv.org
Traditional media coding schemes typically encode image/video into a
semantic-unknown binary stream, which fails to directly support downstream
intelligent tasks at the bitstream level. Semantically Structured Image Coding
(SSIC) framework makes the first attempt to enable decoding-free or
partial-decoding image intelligent task analysis via a Semantically Structured
Bitstream (SSB). However, the SSIC only considers image coding and its
generated SSB only contains the static object information. In this paper, we
extend the idea of semantically structured coding from video coding …
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