Methods for Combining Content-Based and Textual-Based Approaches in Medical Image Retrieval

This paper describes our participation in the Medical Image Retrieval task of Image CLEF 2008. Our aim was to evaluate different combination methods for purely textual and visual approaches. Our most interesting conclusion is that combining results provided by both methods using classical combination function allows to obtain higher retrieval accuracy in terms of MAP . MAP values than combination according to query type. Moreover, it is more reliable than using only textual retrieval or using only visual retrieval. Categories and Subject Descriptors H.3 [Information Storage and Retrieval]: H.3.1 Content Analysis and Indexing; H.3.3 Information Search and Retrieval General Terms Measurement, Performance, Experimentation Keywords Contextual image retrieval, content-based image retrieval, combination, query classification

• Type: Conference
• Year: 2008
• Where: CLEF
• Authors: Mouna Torjmen, Karen Pinel-Sauvagnat, Mohand Boughanem
• Keywords: CLEF 2008, Content-based Image Retrieval, Image Retrieval, Image Retrieval Task, Information Management