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MIRACLE Approach to ImageCLEF 2004: Merging Textual and Content-Based Image Retrieval

  • J. L. Martínez-Fernández
  • A. García-Serrano
  • J. Villena
  • V. Méndez-Sáenz
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3491)

Abstract

This paper presents the image retrieval techniques tested by the MIRACLE (Multilingual Information RetrievAl for the CLEf campaign) research group as part of the ImageCLEF 2004 initiative. Two main lines of research continuing the past year’s experiments were considered: the application of linguistic techniques to improve retrieval performance and the combination of textual and content-based image retrieval.

Keywords

Image Retrieval Average Precision Relevance Feedback Query Expansion Retrieval Task 
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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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • J. L. Martínez-Fernández
    • 1
    • 4
  • A. García-Serrano
    • 2
  • J. Villena
    • 3
    • 4
  • V. Méndez-Sáenz
    • 2
  1. 1.Advaced Databases Group, Computer Science DepartmentUniversidad Carlos III de MadridLeganés, MadridSpain
  2. 2.Artificial Intelligence DepartmentUniversidad Politécnica de MadridBoadilla del MonteSpain
  3. 3.Department of Telematic EngineeringUniversidad Carlos III de MadridLeganés, MadridSpain
  4. 4.DAEDALUS – Data, Decisiond and Language, S.A.Centro de Empresas “La Arboleda”MadridSpain

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