Some Results Using Different Approaches to Merge Visual and Text-Based Features in CLEF’08 Photo Collection

  • Ana García-Serrano
  • Xaro Benavent
  • Ruben Granados
  • José Miguel Goñi-Menoyo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5706)


This paper describes the participation of the MIRACLE team at the ImageCLEF Photographic Retrieval task of CLEF 2008. We succeeded in submitting 41 runs. Obtained results from text-based retrieval are better than content-based as previous experiments in the MIRACLE team campaigns [5, 6] using different software. Our main aim was to experiment with several merging approaches to fuse text-based retrieval and content-based retrieval results, and it happened that we improve the text-based baseline when applying one of the three merging algorithms, although visual results are lower than textual ones.


Information Retrieval Text-based image Retrieval and Content-based image Retrieval Visual features Textual features Merge result lists Indexing 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Ana García-Serrano
    • 1
  • Xaro Benavent
    • 2
  • Ruben Granados
    • 3
  • José Miguel Goñi-Menoyo
    • 3
  1. 1.Universidad Nacional de Educación a Distancia, UNEDSpain
  2. 2.Universidad de ValenciaSpain
  3. 3.Universidad Politécnica de MadridSpain

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