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iBase: navigating digital library collections

Browne, Paul; Rüger, Stefan; Xu, Li-Qun and Heesch, Daniel (2006). iBase: navigating digital library collections. In: Image and Video Retrieval, 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.

Item Type: Conference or Workshop Item
Copyright Holders: 2006 Springer-Verlag
ISSN: 0302-9743
Extra Information: Published in: H. Sundaram et al. (Eds.): CIVR 2006, LNCS 4071, pp. 510-513, 2006
Keywords: iBase; navigation; digital libraries; lateral browsing
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 29875
Depositing User: Stefan Rüger
Date Deposited: 25 Oct 2011 16:28
Last Modified: 14 Jun 2020 09:24
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