Reordering-based transform for compressing human motion capture data

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

doi:10.1109/ISCAS.2015.7169253

Reordering-based transform for compressing human motion capture data

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

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-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 language	English
Title of host publication	Proceedings - IEEE International Symposium on Circuits and Systems
Publisher	IEEE
Pages	2740-2743
Volume	2015-July
ISBN (Print)	9781479983919
DOIs	https://doi.org/10.1109/ISCAS.2015.7169253
Publication status	Published - 27 Jul 2015
Externally published	Yes
Event	2015 IEEE International Symposium on Circuits and Systems (ISCAS 2015): Enabling Technologies for Societal Challenges - Cultural Centre of Belém, Lisbon, Portugal Duration: 24 May 2015 → 27 May 2015 http://www.iscas2015.org/

Publication series

Name
Volume	2015-July
ISSN (Print)	0271-4310

Conference

Conference	2015 IEEE International Symposium on Circuits and Systems (ISCAS 2015)
Place	Portugal
City	Lisbon
Period	24/05/15 → 27/05/15
Internet address	http://www.iscas2015.org/

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10.1109/ISCAS.2015.7169253

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@inproceedings{ffe6808621684cc3943f6b4964236408,

title = "Reordering-based transform for compressing human motion capture data",

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.",

author = "Junhui Hou and Lap-Pui Chau and Ying He and Nadia Magnenat-Thalmann",

year = "2015",

month = jul,

day = "27",

doi = "10.1109/ISCAS.2015.7169253",

language = "English",

isbn = "9781479983919",

volume = "2015-July",

publisher = "IEEE",

pages = "2740--2743",

booktitle = "Proceedings - IEEE International Symposium on Circuits and Systems",

address = "United States",

note = "2015 IEEE International Symposium on Circuits and Systems (ISCAS 2015) : Enabling Technologies for Societal Challenges ; Conference date: 24-05-2015 Through 27-05-2015",

url = "http://www.iscas2015.org/",

}

Hou, J, Chau, L-P, He, Y & Magnenat-Thalmann, N 2015, Reordering-based transform for compressing human motion capture data. in Proceedings - IEEE International Symposium on Circuits and Systems. vol. 2015-July, 7169253, IEEE, pp. 2740-2743, 2015 IEEE International Symposium on Circuits and Systems (ISCAS 2015), Lisbon, Portugal, 24/05/15. https://doi.org/10.1109/ISCAS.2015.7169253

Reordering-based transform for compressing human motion capture data. / Hou, Junhui; Chau, Lap-Pui; He, Ying et al.
Proceedings - IEEE International Symposium on Circuits and Systems. Vol. 2015-July IEEE, 2015. p. 2740-2743 7169253.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Reordering-based transform for compressing human motion capture data

AU - Hou, Junhui

AU - Chau, Lap-Pui

AU - He, Ying

AU - Magnenat-Thalmann, Nadia

PY - 2015/7/27

Y1 - 2015/7/27

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/84946204925

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84946204925&origin=recordpage

U2 - 10.1109/ISCAS.2015.7169253

DO - 10.1109/ISCAS.2015.7169253

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781479983919

VL - 2015-July

SP - 2740

EP - 2743

BT - Proceedings - IEEE International Symposium on Circuits and Systems

PB - IEEE

T2 - 2015 IEEE International Symposium on Circuits and Systems (ISCAS 2015)

Y2 - 24 May 2015 through 27 May 2015

ER -

Reordering-based transform for compressing human motion capture data

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