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Computer Science > Multimedia

arXiv:1905.01790 (cs)
[Submitted on 6 May 2019 (v1), last revised 11 May 2019 (this version, v2)]

Title:A multimodal lossless coding method for skeletons in videos

Authors:Mingzhou Liu, Xiaoyi He, Weiyao Lin, Xintong Han, Yanmin Zhu, Hongtao Lu, Hongkai Xiong
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Abstract:Nowadays, skeleton information in videos plays an important role in human-centric video analysis but effective coding such massive skeleton information has never been addressed in previous work. In this paper, we make the first attempt to solve this problem by proposing a multimodal skeleton coding tool containing three different coding schemes, namely, spatial differential-coding scheme, motionvector-based differential-coding scheme and inter prediction scheme, thus utilizing both spatial and temporal redundancy to losslessly compress skeleton data. More importantly, these schemes are switched properly for different types of skeletons in video frames, hence achieving further improvement of compression rate. Experimental results show that our approach leads to 74.4% and 54.7% size reduction on our surveillance sequences and overall test sequences respectively, which demonstrates the effectiveness of our skeleton coding tool.
Comments: This manuscript is the accepted version for ICMEW (IEEE Intl. Conf. Multimedia & Expo Workshop), IEEE Intl. Conf. Multimedia & Expo Workshop (ICME), 2019
Subjects: Multimedia (cs.MM)
Cite as: arXiv:1905.01790 [cs.MM]
  (or arXiv:1905.01790v2 [cs.MM] for this version)
  https://doi.org/10.48550/arXiv.1905.01790

Submission history

From: Mingzhou Liu [view email]
[v1] Mon, 6 May 2019 02:08:46 UTC (8,502 KB)
[v2] Sat, 11 May 2019 00:11:38 UTC (8,959 KB)
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