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.
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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
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Spain
Confidentiality degree is not subject to a state or trade secret
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 0302-9743
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
Tags DISA
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 27/4/2014 23:24.
Abstract
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 projectName: Centrum pro multi-modální interpretaci dat velkého rozsahu
Investor: Czech Science Foundation
VG20122015073, research and development projectName: Efektivní vyhledávání v rozsáhlých biometrických datech (Acronym: EFBIO)
Investor: Ministry of the Interior of the CR
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