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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)

Abstract

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.

Keywords

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

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References

  1. 1.
    Arni, T., Clough, P., Sandersin, M., Grubinger, M.: Overview of the ImageCLEFphoto 2008 Photographic Retrieval Task. In: Peters, C., et al. (eds.) CLEF 2008. LNCS, vol. 5706, pp. 500–511. Springer, Heidelberg (2008)Google Scholar
  2. 2.
    Granados, R., Benavent, X., García-Serrano, A., Goñi, J.M.: MIRACLE-FI at ImageCLEFphoto 2008: Experiences in merging Text-based and Content-based Retrievals. In: Working Notes of the 2008 CLEF Workshop, Aarhust, Denmark (September 2008)Google Scholar
  3. 3.
    Grubinger, M., Clough, P., Müller, H., Deselaers, T.: The IAPR-TC12 benchmark: A new evaluation resource for visual information systems. In: International Workshop OntoImage’2006 Language Resources for Content-Based Image Retrieval, held in conjunction with LREC 2006, Genoa, Italy, May 2006, pp. 13–23 (2006)Google Scholar
  4. 4.
    Leon, T., Zuccarello, P., Ayala, G., de Ves, E., Domingo, J.: Applying logistic regression to relevance feedback in image retrieval systems. Pattern Recognition 40, 2621–2632 (2007)CrossRefzbMATHGoogle Scholar
  5. 5.
    Martínez-Fernández, J.L., Villena-Román, J., García-Serrano, A., González-Cristóbal, J.C.: Combining Textual and Visual Features for Cross-Language Medical Image Retrieval. In: Peters, C., Gey, F.C., Gonzalo, J., Müller, H., Jones, G.J.F., Kluck, M., Magnini, B., de Rijke, M., Giampiccolo, D. (eds.) CLEF 2005. LNCS, vol. 4022, pp. 712–723. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  6. 6.
    Villena-Román, J., Lana-Serrano, S., Martínez-Fernández, J.L., González-Cristóbal, J.-C.: MIRACLE at ImageCLEFphoto 2007: Evaluation of Merging Strategies for Multilingual and Multimedia Information Retrieval. In: Peters, C., Jijkoun, V., Mandl, T., Müller, H., Oard, D.W., Peñas, A., Petras, V., Santos, D. (eds.) CLEF 2007. LNCS, vol. 5152, pp. 500–503. Springer, Heidelberg (2008)CrossRefGoogle Scholar

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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