@inproceedings{99a6c152f42046c8aecf807dfaffa654,
title = "Segment-based human motion compression",
abstract = "As more and more human motion data are becoming widely used to animate computer graphics figures in many applications, the growing need for compact storage and fast transmission makes it imperative to compress motion data. We propose a data-driven method for efficient compression of human motion sequences by exploiting both spatial and temporal coherences of the data. We first segment a motion sequence into subsequences such that the poses within a subsequence lie near a low dimensional linear space. We then compress each segment using principal component analysis. Our method achieves further compression by storing only the key frames' projections to the principal component space and interpolating the other frames in-between via spline functions. The experimental results show that our method can achieve significant compression rate with low reconstruction errors.",
author = "Guodong Liu and Leonard McMillan",
note = "Funding Information: We would like to thank the anonymous reviewers for their valuable comments. The data used in this project was obtained from CMU's motion capture database (mocap.cs.cmu.edu), which was created with support from NSF EIA-0196217. Publisher Copyright: {\textcopyright} 2016 The Eurographics Association.; 5th ACM SIGGRAPH / Eurographics Symposium on Computer Animation, SCA 2006 ; Conference date: 02-09-2006 Through 04-09-2006",
year = "2006",
month = sep,
day = "2",
language = "English (US)",
series = "Computer Animation, Conference Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "127--135",
editor = "Fellner, {Dieter W.} and Stephen Spencer",
booktitle = "Computer Animation 2006",
address = "United States",
}