Reordering-based transform for compressing human motion capture data

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

1 Scopus Citations
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Author(s)

  • Junhui Hou
  • Lap-Pui Chau
  • Ying He
  • Nadia Magnenat-Thalmann

Detail(s)

Original languageEnglish
Title of host publicationProceedings - IEEE International Symposium on Circuits and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2740-2743
Volume2015-July
ISBN (Print)9781479983919
Publication statusPublished - 27 Jul 2015
Externally publishedYes

Publication series

Name
Volume2015-July
ISSN (Print)0271-4310

Conference

Title2015 IEEE International Symposium on Circuits and Systems (ISCAS 2015)
LocationCultural Centre of Belém
PlacePortugal
CityLisbon
Period24 - 27 May 2015

Abstract

This paper presents a simple yet effective algorithm for compressing human motion capture (mocap) data. With a reordering-based discrete wavelet transform and the standard discrete cosine transform, our method can effectively reduce the spatial and temporal correlation in mocap data. Our method is conceptually simple and easy to implement. Experimental results show that our method can achieve better compression performance with lower latency, compared to the state-of-the-art methods.

Citation Format(s)

Reordering-based transform for compressing human motion capture data. / Hou, Junhui; Chau, Lap-Pui; He, Ying; Magnenat-Thalmann, Nadia.

Proceedings - IEEE International Symposium on Circuits and Systems. Vol. 2015-July Institute of Electrical and Electronics Engineers Inc., 2015. p. 2740-2743 7169253.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review