The CLEF 2005 cross–language image retrieval track

  • Authors:

  • Paul Clough;Henning Müller;Thomas Deselaers;Michael Grubinger;Thomas M. Lehmann;Jeffery Jensen;William Hersh

  • Affiliations:

  • Department of Information Studies, Sheffield University, Sheffield, UK;Medical Informatics Service, Geneva University and Hospitals, Geneva, Switzerland;Lehrstuhl für Informatik VI, RWTH Aachen, Germany;School of Computer Science and Mathematics, Victoria University, Australia;Department of Medical Informatics, Medical Faculty, RWTH Aachen, Germany;Biomedical Informatics, Oregon Health and Science University, Portland, OR;Biomedical Informatics, Oregon Health and Science University, Portland, OR

  • Venue:
  • CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
  • Year:
  • 2005

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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.