Motion Words: A Text-like Representation of 3D Skeleton
Sequences

D 2020

Motion Words: A Text-like Representation of 3D Skeleton Sequences

SEDMIDUBSKÝ, Jan, Petra BUDÍKOVÁ, Vlastislav DOHNAL a Pavel ZEZULA

Základní údaje

Originální název

Motion Words: A Text-like Representation of 3D Skeleton Sequences

Autoři

SEDMIDUBSKÝ, Jan (203 Česká republika, garant, domácí), Petra BUDÍKOVÁ (203 Česká republika, domácí), Vlastislav DOHNAL (203 Česká republika, domácí) a Pavel ZEZULA (203 Česká republika, domácí)

Vydání

Cham, 42nd European Conference on Information Retrieval (ECIR), od s. 527-541, 15 s. 2020

Nakladatel

Springer

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10200 1.2 Computer and information sciences

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Impakt faktor

Impact factor: 0.402 v roce 2005

Kód RIV

RIV/00216224:14330/20:00114026

Organizační jednotka

Fakulta informatiky

ISBN

978-3-030-45438-8

ISSN

DOI

http://dx.doi.org/10.1007/978-3-030-45439-5_35

Klíčová slova anglicky

3D skeleton sequence;motion word;motion vocabulary;quantization;border problem;text-based processing

Štítky

core_A, DISA, firank_A

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 29. 4. 2021 12:21, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

There is a growing amount of human motion data captured as a continuous 3D skeleton sequence without any information about its semantic partitioning. To make such unsegmented and unlabeled data efficiently accessible, we propose to transform them into a text-like representation and employ well-known text retrieval models. Specifically, we partition each motion synthetically into a sequence of short segments and quantize the segments into motion words, i.e. compact features with similar characteristics as words in text documents. We introduce several quantization techniques for building motion-word vocabularies and propose application-independent criteria for assessing the vocabulary quality. We verify these criteria on two real-life application scenarios.

Návaznosti

GA19-02033S, projekt VaV

Název: Vyhledávání, analytika a anotace datových toků lidských pohybů

Investor: Grantová agentura ČR, Searching, Mining, and Annotating Human Motion Streams

Citovat

SEDMIDUBSKÝ, Jan, Petra BUDÍKOVÁ, Vlastislav DOHNAL a Pavel ZEZULA. Motion Words: A Text-like Representation of 3D Skeleton Sequences. Online. In 42nd European Conference on Information Retrieval (ECIR). Cham: Springer, 2020, s. 527-541. ISBN 978-3-030-45438-8. Dostupné z: https://dx.doi.org/10.1007/978-3-030-45439-5_35.

@inproceedings{1603299,
   author = {Sedmidubský, Jan and Budíková, Petra and Dohnal, Vlastislav and Zezula, Pavel},
   address = {Cham},
   booktitle = {42nd European Conference on Information Retrieval (ECIR)},
   doi = {http://dx.doi.org/10.1007/978-3-030-45439-5_35},
   keywords = {3D skeleton sequence;motion word;motion vocabulary;quantization;border problem;text-based processing},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Cham},
   isbn = {978-3-030-45438-8},
   pages = {527-541},
   publisher = {Springer},
   title = {Motion Words: A Text-like Representation of 3D Skeleton Sequences},
   year = {2020}
}

TY  - JOUR
ID  - 1603299
AU  - Sedmidubský, Jan - Budíková, Petra - Dohnal, Vlastislav - Zezula, Pavel
PY  - 2020
TI  - Motion Words: A Text-like Representation of 3D Skeleton Sequences
PB  - Springer
CY  - Cham
SN  - 9783030454388
KW  - 3D skeleton sequence;motion word;motion vocabulary;quantization;border problem;text-based processing
N2  - There is a growing amount of human motion data captured as a continuous 3D skeleton sequence without any information about its semantic partitioning. To make such unsegmented and unlabeled data efficiently accessible, we propose to transform them into a text-like representation and employ well-known text retrieval models. Specifically, we partition each motion synthetically into a sequence of short segments and quantize the segments into motion words, i.e. compact features with similar characteristics as words in text documents. We introduce several quantization techniques for building motion-word vocabularies and propose application-independent criteria for assessing the vocabulary quality. We verify these criteria on two real-life application scenarios.
ER  -

SEDMIDUBSKÝ, Jan, Petra BUDÍKOVÁ, Vlastislav DOHNAL a Pavel ZEZULA. Motion Words: A Text-like Representation of 3D Skeleton Sequences. Online. In \textit{42nd European Conference on Information Retrieval (ECIR)}. Cham: Springer, 2020, s.~527-541. ISBN~978-3-030-45438-8. Dostupné z: https://dx.doi.org/10.1007/978-3-030-45439-5\_{}35.

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