Reordering-based transform for compressing human motion capture data

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

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publication2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2740-2743
Number of pages4
ISBN (Electronic)9781479983919
DOIs
Publication statusPublished - 27 Jul 2015
Externally publishedYes
EventIEEE International Symposium on Circuits and Systems, ISCAS 2015 - Lisbon, Portugal
Duration: 24 May 201527 May 2015

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
Volume2015-July
ISSN (Print)0271-4310

Conference

ConferenceIEEE International Symposium on Circuits and Systems, ISCAS 2015
Country/TerritoryPortugal
CityLisbon
Period24/05/1527/05/15

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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