Motion Images: An Effective Representation of Motion Capture Data for Similarity Search
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F15%3A00080885" target="_blank" >RIV/00216224:14330/15:00080885 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-25087-8_24" target="_blank" >http://dx.doi.org/10.1007/978-3-319-25087-8_24</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-25087-8_24" target="_blank" >10.1007/978-3-319-25087-8_24</a>
Alternative languages
Result language
angličtina
Original language name
Motion Images: An Effective Representation of Motion Capture Data for Similarity Search
Original language description
The rapid development of motion capturing technologies has caused a massive usage of human motion data in a variety of fields, such as computer animation, gaming industry, medicine, sports and security. These technologies produce large volumes of complexspatio-temporal data which need to be effectively compared on the basis of similarity. In contrast to a traditional way of extracting numerical features, we propose a new idea to transform complex motion data into RGB images and compare them by content-based image retrieval methods. We see transformed RGB images as suitable application-independent features for their ability to preserve key aspects of performed motions. To demonstrate the usability of this idea, we evaluate a preliminary experiment thatclassifies 1,034 motions into 14 categories with the 87.4% precision.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of 8th International Conference on Similarity Search and Applications (SISAP 2015), LNCS 9371
ISBN
9783319250861
ISSN
0302-9743
e-ISSN
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Number of pages
6
Pages from-to
250-255
Publisher name
Springer
Place of publication
Switzerland
Event location
Glasgow, Scotland, UK
Event date
Jan 1, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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