Image indexing by focus map

Levente Kovács, Tamás Szirányi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Content-based indexing and retrieval (CBIR) of still and motion picture databases is an area of ever increasing attention. In this paper we present a method for still image information extraction, which in itself provides a somewhat higher level of features and also can serve as a basis for high level, i.e. semantic, image feature extraction and understanding. In our proposed method we use blind deconvolution for image area classification by interest regions, which is a novel use of the technique. We prove its viability for such and similar use.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages300-307
Number of pages8
Publication statusPublished - Dec 1 2005
Event7th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2005 - Antwerp, Belgium
Duration: Sep 20 2005Sep 23 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3708 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2005
CountryBelgium
CityAntwerp
Period9/20/059/23/05

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Keywords

  • Blind deconvolution
  • CBIR
  • Focus map
  • Indexing

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Kovács, L., & Szirányi, T. (2005). Image indexing by focus map. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 300-307). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3708 LNCS).