A Web Application for Subsequence Matching in 3D Human Motion
Data

D 2017

A Web Application for Subsequence Matching in 3D Human Motion Data

SEDMIDUBSKÝ, Jan and Pavel ZEZULA

Basic information

Original name

A Web Application for Subsequence Matching in 3D Human Motion Data

Authors

SEDMIDUBSKÝ, Jan (203 Czech Republic, guarantor, belonging to the institution) and Pavel ZEZULA (203 Czech Republic, belonging to the institution)

Edition

Neuveden, 19th IEEE International Symposium on Multimedia, p. 372-373, 2 pp. 2017

Publisher

IEEE Computer Society

Other information

Language

English

Type of outcome

Proceedings paper

Field of Study

10201 Computer sciences, information science, bioinformatics

Confidentiality degree

is not subject to a state or trade secret

Publication form

storage medium (CD, DVD, flash disk)

RIV identification code

RIV/00216224:14330/17:00094978

Organization unit

Faculty of Informatics

ISBN

978-1-5386-2937-6

DOI

https://doi.org/10.1109/ISM.2017.73

UT WoS

000454605200066

EID Scopus

2-s2.0-85045850343

Keywords in English

motion capture data; subsequence matching; similarity comparison; multi-level segmentation; real-time subsequence search; web demonstration application

Abstract

In the original language

The subsequence-matching operation applied to motion capture data searches in long motion sequences to locate their parts that are similar to a query example. An effective and efficient implementation of such operation is valuable to increase reusability and findability of expensively recorded data in the past. This demonstration paper builds on recent advances in the field of motion-data processing and implements them into a single web application that allows users to discover query-similar subsequences. The proposed application does not require any textual annotations nor explicit knowledge of the data and can deal with spatio-temporal variances of human movements. Efficiency and effectiveness can be verified by searching a 12-hour database of motion sequences in real time.

Links

GBP103/12/G084, research and development project

Name: Centrum pro multi-modální interpretaci dat velkého rozsahu

Investor: Czech Science Foundation

Cite

SEDMIDUBSKÝ, Jan and Pavel ZEZULA. A Web Application for Subsequence Matching in 3D Human Motion Data. In 19th IEEE International Symposium on Multimedia. Neuveden: IEEE Computer Society, 2017, p. 372-373. ISBN 978-1-5386-2937-6. Available from: https://doi.org/10.1109/ISM.2017.73.

@inproceedings{1390239,
   author = {Sedmidubský, Jan and Zezula, Pavel},
   address = {Neuveden},
   booktitle = {19th IEEE International Symposium on Multimedia},
   doi = {https://doi.org/10.1109/ISM.2017.73},
   keywords = {motion capture data; subsequence matching; similarity comparison; multi-level segmentation; real-time subsequence search; web demonstration application},
   howpublished = {paměťový nosič},
   language = {eng},
   location = {Neuveden},
   isbn = {978-1-5386-2937-6},
   pages = {372-373},
   publisher = {IEEE Computer Society},
   title = {A Web Application for Subsequence Matching in 3D Human Motion Data},
   year = {2017}
}

TY  - CONF
ID  - 1390239
AU  - Sedmidubský, Jan - Zezula, Pavel
PY  - 2017
TI  - A Web Application for Subsequence Matching in 3D Human Motion Data
PB  - IEEE Computer Society
CY  - Neuveden
SN  - 9781538629376
KW  - motion capture data
KW  - subsequence matching
KW  - similarity comparison
KW  - multi-level segmentation
KW  - real-time subsequence search
KW  - web demonstration application
N2  - The subsequence-matching operation applied to motion capture data searches in long motion sequences to locate their parts that are similar to a query example. An effective and efficient implementation of such operation is valuable to increase reusability and findability of expensively recorded data in the past. This demonstration paper builds on recent advances in the field of motion-data processing and implements them into a single web application that allows users to discover query-similar subsequences. The proposed application does not require any textual annotations nor explicit knowledge of the data and can deal with spatio-temporal variances of human movements. Efficiency and effectiveness can be verified by searching a 12-hour database of motion sequences in real time.
ER  -

SEDMIDUBSKÝ, Jan and Pavel ZEZULA. A Web Application for Subsequence Matching in 3D Human Motion Data. In \textit{19th IEEE International Symposium on Multimedia}. Neuveden: IEEE Computer Society, 2017, p.~372-373. ISBN~978-1-5386-2937-6. Available from: https://doi.org/10.1109/ISM.2017.73.

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