Segment-based human motion compression

Guodong Liu, Leonard McMillan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

48 Scopus citations


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.

Original languageEnglish (US)
Title of host publicationComputer Animation 2006
Subtitle of host publicationACM SIGGRAPH / Eurographics Symposium, SCA 2006 - Proceedings
EditorsDieter W. Fellner, Stephen Spencer
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages9
ISBN (Electronic)3905673347, 9783905673340
StatePublished - Sep 2 2006
Event5th ACM SIGGRAPH / Eurographics Symposium on Computer Animation, SCA 2006 - Vienna, Austria
Duration: Sep 2 2006Sep 4 2006

Publication series

NameComputer Animation, Conference Proceedings


Other5th ACM SIGGRAPH / Eurographics Symposium on Computer Animation, SCA 2006

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Software


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