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 a Pavel ZEZULA

Základní údaje

Originální název

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

Autoři

SEDMIDUBSKÝ, Jan (203 Česká republika, garant, domácí) a Pavel ZEZULA (203 Česká republika, domácí)

Vydání

Neuveden, 19th IEEE International Symposium on Multimedia, od s. 372-373, 2 s. 2017

Nakladatel

IEEE Computer Society

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

paměťový nosič (CD, DVD, flash disk)

Kód RIV

RIV/00216224:14330/17:00094978

Organizační jednotka

Fakulta informatiky

ISBN

978-1-5386-2937-6

DOI

http://dx.doi.org/10.1109/ISM.2017.73

UT WoS

000454605200066

Klíčová slova anglicky

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

Štítky

DISA

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 14. 5. 2020 15:11, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

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.

Návaznosti

GBP103/12/G084, projekt VaV

Název: Centrum pro multi-modální interpretaci dat velkého rozsahu

Investor: Grantová agentura ČR, Centrum pro multi-modální interpretaci dat velkého rozsahu

Citovat

SEDMIDUBSKÝ, Jan a 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, s. 372-373. ISBN 978-1-5386-2937-6. Dostupné z: https://dx.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 = {http://dx.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  - JOUR
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 a 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, s.~372-373. ISBN~978-1-5386-2937-6. Dostupné z: https://dx.doi.org/10.1109/ISM.2017.73.

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