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Exploiting Class-Specific Features in Multi-feature Dissimilarity Space for Efficient Querying of Images

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Flexible Query Answering Systems (FQAS 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7022))

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Abstract

Combining multiple features is an empirically validated approach in the literature, which increases the accuracy in querying. However, it entails processing intrinsic high-dimensionality of features and complicates realizing an efficient system. Two primary problems can be discussed for efficient querying: representation of images and selection of features. In this paper, a class-specific feature selection approach with a dissimilarity based representation method is proposed. The class-specific features are determined by using the representativeness and discriminativeness of features for each image class. The calculations are based on the statistics on the dissimilarity values of training images.

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Author information

Authors and Affiliations

  1. Dept. of Computer Engineering, Middle East Technical University, Ankara, Turkey

    Turgay Yilmaz, Adnan Yazici & Yakup Yildirim

Authors
  1. Turgay Yilmaz
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  2. Adnan Yazici
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  3. Yakup Yildirim
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Editor information

Editors and Affiliations

  1. Department of Communication, Business and Information Technologies, Roskilde University, P.O. box 260, 4000, Roskilde, Denmark

    Henning Christiansen

  2. Department of Telecommunications and Information Processing, Ghent University, Sint-Pietersnieuwstraat 41, 9000, Ghent, Belgium

    Guy De Tré

  3. Computer Engineering Department, Middle East Technical University (METU), 06531, Ankara, Türkiye

    Adnan Yazici

  4. Systems Research Institute, Polish Academy of Science, Newelska 6, 01-447, Warsaw, Poland

    Slawomir Zadrozny

  5. Department of Computer Science, Roskilde University, Building 42.1, P.O Box 260, 4000, Roskilde, Denmark

    Troels Andreasen

  6. Department of Electronic Systems, Aalborg University, Niels Bohrs Vey 8, H321, 6700, Esbjerg, Denmark

    Henrik Legind Larsen

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© 2011 Springer-Verlag Berlin Heidelberg

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Yilmaz, T., Yazici, A., Yildirim, Y. (2011). Exploiting Class-Specific Features in Multi-feature Dissimilarity Space for Efficient Querying of Images. In: Christiansen, H., De Tré, G., Yazici, A., Zadrozny, S., Andreasen, T., Larsen, H.L. (eds) Flexible Query Answering Systems. FQAS 2011. Lecture Notes in Computer Science(), vol 7022. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24764-4_14

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  • DOI: https://doi.org/10.1007/978-3-642-24764-4_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24763-7

  • Online ISBN: 978-3-642-24764-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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