The CLEF 2005 Cross–Language Image Retrieval Track

  • Paul Clough
  • Henning Müller
  • Thomas Deselaers
  • Michael Grubinger
  • Thomas M. Lehmann
  • Jeffery Jensen
  • William Hersh
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4022)

Abstract

This paper outlines efforts from the 2005 CLEF cross– language image retrieval campaign (ImageCLEF). Aim of the CLEF track is to explore the use of both text and content–based retrieval methods for cross–language image retrieval. Four tasks were offered in ImageCLEF: ad–hoc retrieval from an historic photographic collection, ad–hoc retrieval from a medical collection, an automatic image annotation task, and a user–centered (interactive) evaluation task. 24 research groups from a variety of backgrounds and nationalities (14 countries) participated in ImageCLEF. This paper presents the ImageCLEF tasks, submissions from participating groups and a summary of the main findings.

Keywords

Image Retrieval Relevance Feedback Image Retrieval System Automatic Query Expansion Cross Language Evaluation Forum 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Paul Clough
    • 1
  • Henning Müller
    • 2
  • Thomas Deselaers
    • 3
  • Michael Grubinger
    • 4
  • Thomas M. Lehmann
    • 5
  • Jeffery Jensen
    • 6
  • William Hersh
    • 6
  1. 1.Department of Information StudiesSheffield UniversitySheffieldUK
  2. 2.Medical Informatics ServiceGeneva University and HospitalsGenevaSwitzerland
  3. 3.Lehrstuhl für Informatik VI, RWTH AachenGermany
  4. 4.School of Computer Science and MathematicsVictoria UniversityAustralia
  5. 5.Department of Medical InformaticsMedical Faculty, RWTH AachenGermany
  6. 6.Biomedical InformaticsOregon Health and Science UniversityPortlandUSA

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