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Image Indexing by Focus Map

  • Conference paper
Advanced Concepts for Intelligent Vision Systems (ACIVS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3708))

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.

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Author information

Authors and Affiliations

  1. Dept. of Image Processing and Neurocomputing, University of Veszprém, Egyetem u. 10, H-8200, Veszprém, Hungary

    Levente Kovács

  2. Analogical Comp. Lab., Comp. and Automation Research Institute, Hungarian Academy of Sciences, Kende u. 15, H-1111, Budapest, Hungary

    Tamás Szirányi

Authors
  1. Levente Kovács
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  2. Tamás Szirányi
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Editor information

Editors and Affiliations

  1. DGA/D4S/MRIS, 94114, Arcueil, France

    Jacques Blanc-Talon

  2. Ghent University, 9000, Gent, Belgium

    Wilfried Philips

  3. Wireless Technologies Lab, CSIRO ICT Centre, NSW 2122, Marsfield, Australia

    Dan Popescu

  4. University of Antwerp, 2610, Wilrijk, Belgium

    Paul Scheunders

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© 2005 Springer-Verlag Berlin Heidelberg

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Kovács, L., Szirányi, T. (2005). Image Indexing by Focus Map. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2005. Lecture Notes in Computer Science, vol 3708. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11558484_38

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  • DOI: https://doi.org/10.1007/11558484_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29032-2

  • Online ISBN: 978-3-540-32046-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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