Combining TEXT-MESS Systems at ImageCLEF 2008

  • Sergio Navarro
  • Miguel Angel García-Cumbreras
  • Fernando Llopis
  • Manuel Carlos Díaz-Galiano
  • Rafael Muñoz
  • María Teresa Martín-Valdivia
  • L. Alfonso Ureña-López
  • Arturo Montejo-Ráez
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5706)

Abstract

This paper describes the joint work of two teams belonging to the TEXT-MESS project. The system presented at ImageCLEFPhoto task combines one module based on filtering and other based on clustering. The main objective was to study the behavior of these methods with a large number of configurations in order to increase our chances of success. The system presented at ImageCLEFmed task uses the IR-n system with a negative query expansion based on the acquisition type of the image mixed with the SINAI system with a MeSH based query expansion.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Sergio Navarro
    • 1
  • Miguel Angel García-Cumbreras
    • 2
  • Fernando Llopis
    • 1
  • Manuel Carlos Díaz-Galiano
    • 2
  • Rafael Muñoz
    • 1
  • María Teresa Martín-Valdivia
    • 2
  • L. Alfonso Ureña-López
    • 2
  • Arturo Montejo-Ráez
    • 2
  1. 1.Natural Language Processing and Information Systems GroupUniversity of AlicanteSpain
  2. 2.SINAI Research Group, Computer Science DepartmentUniversity of JaénSpain

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