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A Fuzzy Rank-Based Late Fusion Method for Image Retrieval

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Advances in Multimedia Modeling (MMM 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7131))

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Abstract

Rank-based fusion is indispensable in multiple search setups in lack of item retrieval scores, such as in meta-search with non-cooperative engines. We introduce a novel, simple, and efficient method for rank-based late fusion of retrieval result-lists. The approach taken is rule-based, employs a fuzzy system, and does not require training data. We evaluate on an image database by fusing results retrieved by three MPEG-7 descriptors, and find statistically significant improvements in effectiveness over other widely used rank-based fusion methods.

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi, 67100, Greece

    Savvas A. Chatzichristofis, Konstantinos Zagoris, Yiannis Boutalis & Avi Arampatzis

  2. Centre for Research and Technology Hellas (CE.R.T.H.), Informatics and Telematics Institute (ITI), Greece

    Savvas A. Chatzichristofis

  3. Department of Electrical, Electronic and Communication Engineering Automatic Control, Friedrich-Alexander University of Erlangen-Nuremberg, Erlangen, 91058, Germany

    Yiannis Boutalis

Authors
  1. Savvas A. Chatzichristofis
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  2. Konstantinos Zagoris
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  3. Yiannis Boutalis
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  4. Avi Arampatzis
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Editor information

Editors and Affiliations

  1. Institute of Information Technology, Alpen-Adria-Universität Klagenfurt, Universitätsstr. 65-67, 9020, Klagenfurt, Austria

    Klaus Schoeffmann

  2. EURECOM, 2229 Rout des Crêtes, BP 193, 06904, Sophia Antipolis Cedex, France

    Bernard Merialdo

  3. School of Computer Science, Carnegie Mellon University, 5000 Forbes Ave, 15213-3890, Pittsburgh, PA, USA

    Alexander G. Hauptmann

  4. Department of Computer Science, City University of Hong Kong, Tat Chee Ave, Kowloon, Hong Kong

    Chong-Wah Ngo

  5. Department of Electronic and Electrical Engineering, University College London, Roberts Building, Torrington Place, WC1E 7JE, London, UK

    Yiannis Andreopoulos

  6. Institute of Software Technology and Interactive Systems, Vienna University of Technology, Favoritenstrasse 9-11 188/2, 1040, Vienna, Austria

    Christian Breiteneder

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© 2012 Springer-Verlag Berlin Heidelberg

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Chatzichristofis, S.A., Zagoris, K., Boutalis, Y., Arampatzis, A. (2012). A Fuzzy Rank-Based Late Fusion Method for Image Retrieval. In: Schoeffmann, K., Merialdo, B., Hauptmann, A.G., Ngo, CW., Andreopoulos, Y., Breiteneder, C. (eds) Advances in Multimedia Modeling. MMM 2012. Lecture Notes in Computer Science, vol 7131. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27355-1_43

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  • DOI: https://doi.org/10.1007/978-3-642-27355-1_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27354-4

  • Online ISBN: 978-3-642-27355-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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