Segment-based human motion compression

Guodong Liu, Leonard McMillan

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

39 Citations (Scopus)

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.

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.
Pages127-135
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
Volume02-04-September-2006

Other

Other5th ACM SIGGRAPH / Eurographics Symposium on Computer Animation, SCA 2006
CountryAustria
CityVienna
Period9/2/069/4/06

Fingerprint

Computer graphics
Splines
Principal component analysis

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Software

Cite this

Liu, G., & McMillan, L. (2006). Segment-based human motion compression. In D. W. Fellner, & S. Spencer (Eds.), Computer Animation 2006: ACM SIGGRAPH / Eurographics Symposium, SCA 2006 - Proceedings (pp. 127-135). (Computer Animation, Conference Proceedings; Vol. 02-04-September-2006). Institute of Electrical and Electronics Engineers Inc..
Liu, Guodong ; McMillan, Leonard. / Segment-based human motion compression. Computer Animation 2006: ACM SIGGRAPH / Eurographics Symposium, SCA 2006 - Proceedings. editor / Dieter W. Fellner ; Stephen Spencer. Institute of Electrical and Electronics Engineers Inc., 2006. pp. 127-135 (Computer Animation, Conference Proceedings).
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Liu, G & McMillan, L 2006, Segment-based human motion compression. in DW Fellner & S Spencer (eds), Computer Animation 2006: ACM SIGGRAPH / Eurographics Symposium, SCA 2006 - Proceedings. Computer Animation, Conference Proceedings, vol. 02-04-September-2006, Institute of Electrical and Electronics Engineers Inc., pp. 127-135, 5th ACM SIGGRAPH / Eurographics Symposium on Computer Animation, SCA 2006, Vienna, Austria, 9/2/06.

Segment-based human motion compression. / Liu, Guodong; McMillan, Leonard.

Computer Animation 2006: ACM SIGGRAPH / Eurographics Symposium, SCA 2006 - Proceedings. ed. / Dieter W. Fellner; Stephen Spencer. Institute of Electrical and Electronics Engineers Inc., 2006. p. 127-135 (Computer Animation, Conference Proceedings; Vol. 02-04-September-2006).

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

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AB - 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.

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Liu G, McMillan L. Segment-based human motion compression. In Fellner DW, Spencer S, editors, Computer Animation 2006: ACM SIGGRAPH / Eurographics Symposium, SCA 2006 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2006. p. 127-135. (Computer Animation, Conference Proceedings).