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UB at CLEF2004 Cross Language Medical Image Retrieval

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Multilingual Information Access for Text, Speech and Images (CLEF 2004)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3491))

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Abstract

This paper presents the results of the State University of New York at Buffalo in the cross-language medical image retrieval task at CLEF 2004. Our work in image retrieval explores the combination of image and text retrieval using automatic query expansion. The system uses pseudo relevance feedback on the case descriptions associated with the top 10 images to improve ranking of images retrieved by a CBIR system. The results show significant improvements with respect to a base line that uses only image retrieval.

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References

  1. Clough, P., Müller, H., Sanderson, M.: The CLEF Cross Language Image Retrieval Track (ImageCLEF) 2004. In: Peters, C., Clough, P., Gonzalo, J., Jones, G.J.F., Kluck, M., Magnini, B. (eds.) CLEF 2004. LNCS, vol. 3491. Springer, Heidelberg (2005)

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  2. Rocchio, J.J.: Relevance feedback in information retrieval. In: Salton, G. (ed.) The SMART Retrieval System: Experiments in Automatic Document Processing, pp. 313–323. Prentice Hall, Englewood Cliffs (1971)

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  3. Ruiz, M.E.: Automatically generated phrases and relevance feedback for improving Cross-Language Information Retrieval. In: Peters, C., Gonzalo, J., Braschler, M., Kluck, M. (eds.) CLEF 2003. LNCS, vol. 3237. Springer, Heidelberg (2004)

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  4. Salton, G. (ed.): The SMART Retrieval System: Experiments in Automatic Document Processing. Prentice Hall, Englewood Cliffs (1971)

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  5. Viper Research Group, http://viper.unige.ch

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Author information

Authors and Affiliations

  1. School of Informatics, Dept. of Library and Information Studies, State University of New York at Buffalo, 534 Baldy Hall, Buffalo, NY, 14260-1020, USA

    Miguel E. Ruiz

  2. Language Computer Corporation, Richardson, TX, 75080, USA

    Munirathnam Srikanth

Authors
  1. Miguel E. Ruiz
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  2. Munirathnam Srikanth
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Editor information

Editors and Affiliations

  1. ISTI-CNR, Area di Ricerca, Pisa, Italy

    Carol Peters

  2. Sheffield University, Sheffield, United Kingdom

    Paul Clough

  3. No Affiliations,  

    Julio Gonzalo

  4. Centre for Digital Video Processing & School of Computing, Dublin City University, Dublin 9, Ireland

    Gareth J. F. Jones

  5. German Institute for International and Security Affairs, Stiftung Wissenschaft und Politik (SWP), Ludwigkirchplatz 3-4, P.O. Box, 10719, Berlin, Germany

    Michael Kluck

  6. ITC-IRST, Trento, Italy

    Bernardo Magnini

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© 2005 Springer-Verlag Berlin Heidelberg

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Ruiz, M.E., Srikanth, M. (2005). UB at CLEF2004 Cross Language Medical Image Retrieval. In: Peters, C., Clough, P., Gonzalo, J., Jones, G.J.F., Kluck, M., Magnini, B. (eds) Multilingual Information Access for Text, Speech and Images. CLEF 2004. Lecture Notes in Computer Science, vol 3491. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11519645_75

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  • DOI: https://doi.org/10.1007/11519645_75

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-27420-9

  • Online ISBN: 978-3-540-32051-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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