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.

DOI: https://doi.org/10.1007/11788034_56

URL: http://www.sigmm.org/archive/CIVR/civr06/index-2.h...

Abstract

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.

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About

• Item ORO ID
• 29875
• Item Type
• Conference or Workshop Item
• 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 or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Copyright Holders
• © 2006 Springer-Verlag
• Depositing User
• Stefan Rüger