Detail publikačního výsledku

Object identification in image using global low-level features

ŘEZNÍČEK, I.

Originální název

Object identification in image using global low-level features

Anglický název

Object identification in image using global low-level features

Druh

Stať ve sborníku mimo WoS a Scopus

Originální abstrakt

Paper describes system for object or situation detection in image using global low-level features. First, block diagram of system for optimal classifier creation is described. Next, all blocks are more detailed described. This approach were used also in Trecvid 2008 evaluation in task HLF extraction.

Anglický abstrakt

Paper describes system for object or situation detection in image using global low-level features. First, block diagram of system for optimal classifier creation is described. Next, all blocks are more detailed described. This approach were used also in Trecvid 2008 evaluation in task HLF extraction.

Klíčová slova

global features, Support Vector Machine, feature extraction, training, libsvm, boost library, Sun Grid Engine, TRECVID.

Klíčová slova v angličtině

global features, Support Vector Machine, feature extraction, training, libsvm, boost library, Sun Grid Engine, TRECVID.

Autoři

ŘEZNÍČEK, I.

Rok RIV

2010

Vydáno

19.11.2008

Nakladatel

University of Žilina

Místo

Žilina

ISBN

978-80-8070-953-2

Kniha

Digital Technologies International Workshop 2008

Edice

Digital Technologies International Workshop 2008

Strany od

10

Strany do

13

Strany počet

4

URL

https://www.fit.vut.cz/research/publication/8839/

BibTex

@inproceedings{BUT32591,
  author="Ivo {Řezníček}",
  title="Object identification in image using global low-level features",
  booktitle="Digital Technologies International Workshop 2008",
  year="2008",
  series="Digital Technologies International Workshop 2008",
  pages="10--13",
  publisher="University of Žilina",
  address="Žilina",
  isbn="978-80-8070-953-2",
  url="https://www.fit.vut.cz/research/publication/8839/"
}

Dokumenty

dt08_IvoReznicek