Detail publikace

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

CHMELAŘ, P. PEŠEK, M. VOLF, T. ZENDULKA, J. FRÖML, V.

Originální název

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

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

CHMELAŘ, P.; PEŠEK, M.; VOLF, T.; ZENDULKA, J.; FRÖML, V.

Rok RIV

2013

Vydáno

26. 9. 2013

Nakladatel

Springer London

Místo

Poznań

ISBN

978-3-319-02894-1

Kniha

Advanced Concepts for Intelligent Vision Systems (ACIVS) - Proceedings of the 15th International Conference, ACIVS 2013

Edice

Lecture Notes in Computer Science (LNCS), Volume 8192 2013

Strany od

378

Strany do

388

Strany počet

11

URL

https://www.fit.vut.cz/research/publication/10320/

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/"
}