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A Fuzzy Rank-Based Late Fusion Method for Image Retrieval

  • Savvas A. Chatzichristofis
  • Konstantinos Zagoris
  • Yiannis Boutalis
  • Avi Arampatzis
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7131)

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.

Keywords

Image Retrieval Rank-Based Late Fusion Fuzzy Systems Heterogeneous Databases 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Savvas A. Chatzichristofis
    • 1
    • 2
  • Konstantinos Zagoris
    • 1
  • Yiannis Boutalis
    • 1
    • 3
  • Avi Arampatzis
    • 1
  1. 1.Department of Electrical and Computer EngineeringDemocritus University of ThraceXanthiGreece
  2. 2.Centre for Research and Technology Hellas (CE.R.T.H.)Informatics and Telematics Institute (ITI)Greece
  3. 3.Department of Electrical, Electronic and Communication Engineering Automatic ControlFriedrich-Alexander University of Erlangen-NurembergErlangenGermany

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