Conference paper

CHMELAŘ Petr, PEŠEK Martin, VOLF Tomáš, ZENDULKA Jaroslav and FRÖML Vojtěch. VTApi: an Efficient Framework for Computer Vision Data Management and Analytics. In: Advanced Concepts for Intelligent Vision Systems (ACIVS) - Proceedings of the 15th International Conference, ACIVS 2013. Poznań: Springer London, 2013, pp. 378-388. ISBN 978-3-319-02894-1.
Publication language:english
Original title:VTApi: an Efficient Framework for Computer Vision Data Management and Analytics
Title (cs):VTApi: efektivní framework pro správu a analýzu dat počítačového vidění
Pages:378-388
Proceedings:Advanced Concepts for Intelligent Vision Systems (ACIVS) - Proceedings of the 15th International Conference, ACIVS 2013
Conference:Advanced Concepts for Intelligent Vision Systems (ACIVS) 2013
Series:Lecture Notes in Computer Science (LNCS), Volume 8192 2013
Place:Poznań, PL
Year:2013
ISBN:978-3-319-02894-1
Publisher:Springer London
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Keywords
VTApi, computer vision, data management, similarity search, clustering, API, methodology, spatio-temporal
Annotation
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.
BibTeX:
@INPROCEEDINGS{
   author = {Petr Chmela{\v{r}} and Martin Pe{\v{s}}ek and
	Tom{\'{a}}{\v{s}} Volf and Jaroslav Zendulka and
	Vojt{\v{e}}ch Fr{\"{o}}ml},
   title = {VTApi: an Efficient Framework for Computer Vision Data
	Management and Analytics},
   pages = {378--388},
   booktitle = {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},
   year = {2013},
   location = {Pozna{\'{n}}, PL},
   publisher = {Springer London},
   ISBN = {978-3-319-02894-1},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=10320}
}

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