Browne, Paul; Rüger, Stefan; Xu, Li-Qun and Heesch, Daniel
iBase: navigating digital library collections.
In: 5th International Conference on Image and Video Retrieval (CIVR 2006), 13-15 July 2006, Tempe, Arizona, pp. 510–513.
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The growth of digital image collections in many areas of science and commercial environments has over the last decade spawned great interest in content-based image retrieval. A great variety of methods have been developed to retrieve images based on example queries and techniques to elicit and utilize relevance feedback (e.g. [4, 5]). Often the systems provide a simple framework that permits evaluation of the method and are not intended as full-fledged systems ready to be used in a realistic setting. Also, comparatively little effort has been expended on devising efficient techniques to browse image collections effectively. The few notable exceptions [1, 3, 6] treat browsing internally as a sequence of queries and thus do not leverage the performance benefits associated with pre-computed browsing structures.
||Published in: H. Sundaram et al. (Eds.): CIVR 2006, LNCS 4071, pp. 510-513, 2006
||iBase; navigation; digital libraries; lateral browsing
||Knowledge Media Institute
||25 Oct 2011 16:28
||26 Oct 2012 04:50
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