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Combining Textual and Visual Features for Image Retrieval

  • J. L. Martínez-Fernández
  • Julio Villena Román
  • Ana M. García-Serrano
  • José Carlos González-Cristóbal
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4022)

Abstract

This paper presents the approaches used by the MIRACLE team to image retrieval at ImageCLEF 2005. Text-based and content-based techniques have been tested, along with combination of both types of methods to improve image retrieval. The text-based experiments defined this year try to use semantic information sources, like thesaurus with semantic data or text structure. On the other hand, content-based techniques are not part of the main expertise of the MIRACLE team, but multidisciplinary participation in all aspects of information retrieval has been pursued. We rely on a publicly available image retrieval system (GIFT 4) when needed.

Keywords

Image Retrieval Average Precision Relevance Feedback Query Expansion Mean Average Precision 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • J. L. Martínez-Fernández
    • 1
  • Julio Villena Román
    • 1
  • Ana M. García-Serrano
    • 2
  • José Carlos González-Cristóbal
    • 3
  1. 1.Universidad Carlos III de Madrid 
  2. 2.Facultad de InformáticaUniversidad Politécnica de Madrid 
  3. 3.DAEDALUS – Data, Decisions and Language, S.A. 

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