Retrieving Similar Movements in Motion Capture Data

D 2013

Retrieving Similar Movements in Motion Capture Data

SEDMIDUBSKÝ, Jan and Jakub VALČÍK

Basic information

Original name

Retrieving Similar Movements in Motion Capture Data

Authors

SEDMIDUBSKÝ, Jan (203 Czech Republic, guarantor, belonging to the institution) and Jakub VALČÍK (203 Czech Republic, belonging to the institution)

Edition

Berlin Heidelberg, 6th International Conference on Similarity Search and Applications (SISAP 2013), LNCS 8199, p. 325-330, 6 pp. 2013

Publisher

Springer-Verlag

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Spain

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

Impact factor

Impact factor: 0.402 in 2005

RIV identification code

RIV/00216224:14330/13:00065723

Organization unit

Faculty of Informatics

ISBN

978-3-642-41061-1

ISSN

DOI

http://dx.doi.org/10.1007/978-3-642-41062-8_33

UT WoS

000338111900033

Keywords in English

motion capture data; motion retrieval; subsequence retrieval; similar sub-motions

Abstract

V originále

Efficient and effective similarity retrieval in large human motion databases is valuable in many fields such as computer animation, security research, sports, and medicine. This demonstration paper presents a content-based retrieval system that is able to examine database motions and locate all their sub-motions similar to a query motion example. The proposed system does not require any textual annotations nor explicit knowledge of the data and can deal with spatio-temporal variances of individual human motions. The system is presented as an online web application indexing a real-life 68-minute human motion database.

Links

GBP103/12/G084, research and development project

Name: Centrum pro multi-modální interpretaci dat velkého rozsahu

Investor: Czech Science Foundation

VG20122015073, research and development project

Name: Efektivní vyhledávání v rozsáhlých biometrických datech (Acronym: EFBIO)

Investor: Ministry of the Interior of the CR

Citovat

SEDMIDUBSKÝ, Jan and Jakub VALČÍK. Retrieving Similar Movements in Motion Capture Data. In N. Brisaboa, O. Pedreira, and P. Zezula. 6th International Conference on Similarity Search and Applications (SISAP 2013), LNCS 8199. Berlin Heidelberg: Springer-Verlag, 2013, p. 325-330. ISBN 978-3-642-41061-1. Available from: https://dx.doi.org/10.1007/978-3-642-41062-8_33.

@inproceedings{1113467,
   author = {Sedmidubský, Jan and Valčík, Jakub},
   address = {Berlin Heidelberg},
   booktitle = {6th International Conference on Similarity Search and Applications (SISAP 2013), LNCS 8199},
   doi = {http://dx.doi.org/10.1007/978-3-642-41062-8_33},
   editor = {N. Brisaboa, O. Pedreira, and P. Zezula},
   keywords = {motion capture data; motion retrieval; subsequence retrieval; similar sub-motions},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Berlin Heidelberg},
   isbn = {978-3-642-41061-1},
   pages = {325-330},
   publisher = {Springer-Verlag},
   title = {Retrieving Similar Movements in Motion Capture Data},
   year = {2013}
}

TY  - JOUR
ID  - 1113467
AU  - Sedmidubský, Jan - Valčík, Jakub
PY  - 2013
TI  - Retrieving Similar Movements in Motion Capture Data
PB  - Springer-Verlag
CY  - Berlin Heidelberg
SN  - 9783642410611
KW  - motion capture data
KW  - motion retrieval
KW  - subsequence retrieval
KW  - similar sub-motions
N2  - Efficient and effective similarity retrieval in large human motion databases is valuable in many fields such as computer animation, security research, sports, and medicine. This demonstration paper presents a content-based retrieval system that is able to examine database motions and locate all their sub-motions similar to a query motion example. The proposed system does not require any textual annotations nor explicit knowledge of the data and can deal with spatio-temporal variances of individual human motions. The system is presented as an online web application indexing a real-life 68-minute human motion database.
ER  -

SEDMIDUBSKÝ, Jan and Jakub VALČÍK. Retrieving Similar Movements in Motion Capture Data. In N. Brisaboa, O. Pedreira, and P. Zezula. \textit{6th International Conference on Similarity Search and Applications (SISAP 2013), LNCS 8199}. Berlin Heidelberg: Springer-Verlag, 2013, p.~325-330. ISBN~978-3-642-41061-1. Available from: https://dx.doi.org/10.1007/978-3-642-41062-8\_{}33.

Detailed Information on Publication Record