Publication Details

VTApi: an Efficient Framework for Computer Vision Data Management and Analytics

CHMELAŘ, P.; PEŠEK, M.; VOLF, T.; ZENDULKA, J.; FRÖML, V. VTApi: an Efficient Framework for Computer Vision Data Management and Analytics. Advanced Concepts for Intelligent Vision Systems (ACIVS) - Proceedings of the 15th International Conference, ACIVS 2013. Lecture Notes in Computer Science (LNCS), Volume 8192 2013. Poznań: Springer London, 2013. p. 378-388. ISBN: 978-3-319-02894-1.
Czech title
VTApi: efektivní framework pro správu a analýzu dat počítačového vidění
Type
conference paper
Language
English
Authors
Chmelař Petr, Ing.
Pešek Martin, Ing.
Volf Tomáš, Ing. (DIFS)
Zendulka Jaroslav, doc. Ing., CSc. (UIFS)
Fröml Vojtěch, Ing.
Keywords

VTApi, computer vision, data management, similarity search, clustering, API,
methodology, spatio-temporal

Abstract

VTApi is an open source application programming interface designed to fulfill the
needs of specific distributed computer vision data and metadata management and
analytic systems and to unify and accelerate their development. It is oriented
towards processing and efficient management of image and video data and related
metadata fortheir retrieval, analysis and mining with the special emphasis on
their spatio-temporal nature in real-world conditions. VTApi is a free extensible
framework based on progressive and scalable open source software as OpenCV for
high- performance computer vision and data mining, PostgreSQL for efficient data
management, indexing and retrieval extendedby similarity search and integrated
with geography/spatio-temporal data manipulation.

Published
2013
Pages
378–388
Proceedings
Advanced Concepts for Intelligent Vision Systems (ACIVS) - Proceedings of the 15th International Conference, ACIVS 2013
Series
Lecture Notes in Computer Science (LNCS), Volume 8192 2013
Conference
Advanced Concepts for Intelligent Vision Systems, City Park Hotel, Poznan, PL
ISBN
978-3-319-02894-1
Publisher
Springer London
Place
Poznań
DOI
10.1007/978-3-319-02895-8_34
BibTeX 
@inproceedings{BUT103486,
  author="Petr {Chmelař} and Martin {Pešek} and Tomáš {Volf} and Jaroslav {Zendulka} and Vojtěch {Fröml}",
  title="VTApi: an Efficient Framework for Computer Vision Data Management and Analytics",
  booktitle="Advanced Concepts for Intelligent Vision Systems (ACIVS) - Proceedings of the 15th International Conference, ACIVS 2013",
  year="2013",
  series="Lecture Notes in Computer Science (LNCS), Volume 8192 2013",
  pages="378--388",
  publisher="Springer London",
  address="Poznań",
  doi="10.1007/978-3-319-02895-8\{_}34",
  isbn="978-3-319-02894-1",
  url="https://www.fit.vut.cz/research/publication/10320/"
}
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