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Ground-Truth-Less Comparison of Selected Content-Based Image Retrieval Measures

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User Centric Media (UCMEDIA 2009)

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Abstract

The paper addresses the issue of finding the best content-based image retrieval measures. First, the authors describe several image descriptors that have been used for image feature extraction. Then, the detailed description of a query by example psycho-physical experiment is presented. The paper concludes with the analysis of the results obtained.

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Author information

Authors and Affiliations

  1. AGH University of Science and Technology, Poland

    Rafał Fraczek, Michał Grega, Mikołaj Leszczuk, Lucjan Janowski & Zdzisław Papir

  2. Technische Universitaet Darmstadt, Germany

    Nicolas Liebau

  3. Universitaet Bremen, Germany

    Andree Luedtke

Authors
  1. Rafał Fraczek
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  2. Michał Grega
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  3. Nicolas Liebau
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  4. Mikołaj Leszczuk
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  5. Andree Luedtke
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  6. Lucjan Janowski
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  7. Zdzisław Papir
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Editor information

Editors and Affiliations

  1. Informatics and Telematics Institute, Centre for Research and Technology Hellas, 1st Km Thermi-Panorama Road, 57001, Thermi-Thessaloniki, Greece

    Petros Daras

  2. CREATE-NET, Via alla Cascata 56D, 38100, Trento, Italia

    Oscar Mayora Ibarra

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© 2010 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Fraczek, R. et al. (2010). Ground-Truth-Less Comparison of Selected Content-Based Image Retrieval Measures. In: Daras, P., Ibarra, O.M. (eds) User Centric Media. UCMEDIA 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 40. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12630-7_12

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  • DOI: https://doi.org/10.1007/978-3-642-12630-7_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12629-1

  • Online ISBN: 978-3-642-12630-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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