The latest issue of Journal of Documentation includes an interesting paper on content-based image retrieval. This describes a survey of operational image retrieval activity and a sample collection of user requests, the resulting images retrieved and their associated metadata. The research was undertaken as part of the ‘Bridging the semantic gap in visual information retrieval’ project funded by the Arts & Humanities Research Council. The purpose of the research is stated as:
“To provide a better-informed view of the extent of the semantic gap in image retrieval, and the limited potential for bridging it offered by current image semantic retrieval techniques.”
Enser, Peter G. B. & Sandom, Christine J. (School of Computing, Mathematical and Information Sciences, University of Brighton; Hare, Jonathon S. & Lewis, Paul; H. (School of Electronics and Computer Science, University of Southampton). Facing the reality of semantic image retrieval. JDoc 63(4), 2007, p465-481.