Publication Details

Object identification in image using global low-level features

ŘEZNÍČEK, I. Object identification in image using global low-level features. Digital Technologies International Workshop 2008. Digital Technologies International Workshop 2008. Žilina: University of Žilina, 2008. p. 10-13. ISBN: 978-80-8070-953-2.
Czech title
Identifikace objektu v obraze při použití globálních nízkoúrovňových příznakových vektorů
Type
conference paper
Language
English
Authors
Řezníček Ivo, Ing., Ph.D.
Keywords

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

Abstract

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.

Annotation

This paper introduces a method of object recognition in image or video sequence using low-level features and powerful machine learning techniques. The goal of the method is to identify an object in unknown images or video. For this purpose optimal svm detector must be created, for which a good dataset is needed
with desired images to train this detector and for computing it's accuracy.

Published
2008
Pages
10–13
Proceedings
Digital Technologies International Workshop 2008
Series
Digital Technologies International Workshop 2008
ISBN
978-80-8070-953-2
Publisher
University of Žilina
Place
Žilina
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/"
}
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