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2004
Springer

Measuring a Cross Language Image Retrieval System

9 years 24 days ago
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...
Mark Sanderson, Paul Clough, Catherine Paterson, W
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2004
Where ECIR
Authors Mark Sanderson, Paul Clough, Catherine Paterson, Wai Tung Lo
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