The CLEF 2005 cross-language image retrieval track

Paul Clough, Henning Müeller, Thomas Deselaers, Michael Grubinger, Thomas Lehmann, Jeffery Jensen, William Hersh

Research output: Contribution to journalConference articlepeer-review

12 Scopus citations


The purpose of this paper is to outline efforts from the 2005 CLEF crosslanguage image retrieval campaign (ImageCLEF). The aim of this 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 the ImageCLEF track: a 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 that is explained in the iCLEF summary. 24 research groups from a variety of backgrounds and nationalities (14 countries) participated in ImageCLEF. In this paper we describe the ImageCLEF tasks, submissions from participating groups and summarise the main findings.

Original languageEnglish (US)
JournalCEUR Workshop Proceedings
StatePublished - 2005
Event2005 Cross Language Evaluation Forum Workshop, CLEF 2005, co-located with the 9th European Conference on Digital Libraries, ECDL 2005 - Wien, Austria
Duration: Sep 21 2005Sep 22 2005

ASJC Scopus subject areas

  • General Computer Science


Dive into the research topics of 'The CLEF 2005 cross-language image retrieval track'. Together they form a unique fingerprint.

Cite this