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The purpose of this paper is to outline eorts from the 2005 CLEF cross- language image retrieval campaign (ImageCLEF). The aim of this CLEF track is to ex- plore the use of both text and content{based retrieval methods for cross{language image retrieval. Four tasks were oered in the ImageCLEF track: a ad{hoc retrieval from an his- toric 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 ndings.

The CLEF 2004 Cross-Language Image Retrieval Track