Publication Details

VTApi: An Efficient Computer Vision Data Management Framework

CHMELAŘ, P.; PEŠEK, M.; VOLF, T.; ZENDULKA, J. VTApi: An Efficient Computer Vision Data Management Framework. 2012. p. 0-0.
Czech title
VTApi: Efektivní řešení správy dat pro počítačové vidění
Type
miscellaneous
Language
English
Authors
Chmelař Petr, Ing.
Pešek Martin, Ing.
Volf Tomáš, Ing. (DIFS)
Zendulka Jaroslav, doc. Ing., CSc. (UIFS)
Keywords

VTApi, computer vision, data management, features, similarity search, API,
framework, OpenCV, PostgreSQL, spatio-temporal

Abstract

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

Published
2012
Pages
12
BibTeX 
@misc{BUT192809,
  author="Petr {Chmelař} and Martin {Pešek} and Tomáš {Volf} and Jaroslav {Zendulka}",
  title="VTApi: An Efficient Computer Vision Data Management Framework",
  year="2012",
  pages="12",
  url="https://www.fit.vut.cz/research/publication/9940/",
  note="miscellaneous"
}
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