Measuring a Cross Language Image Retrieval System

Cross language information retrieval is a field of study that has received significant research attention, resulting in systems that despite the errors of automatic translation (from query to document), on average, produce relatively good retrieval results. Traditionally, most work has focussed on retrieval from sets of newspaper articles; however, other forms of collection are being searched: one example being the cross language retrieval of images by text caption. Limited past work has established, through test collection evaluation, that as with traditional CLIR, image CLIR is effective. This paper presents two studies that start to establish the usability of such a system: first, a test collection-based examination, which avoids traditional measures of effectiveness, is described and results from it are discussed; second, a preliminary usability study of a working cross language image retrieval system is presented. Together the examinations show that, in general, searching for ima...

• Type: Conference
• Year: 2004
• Where: ECIR
• Authors: Mark Sanderson, Paul Clough, Catherine Paterson, Wai Tung Lo
• Keywords: Cross Language, Cross Language Information Retrieval, Cross Language Retrieval, ECIR 2004, Information Technology