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A large scale system for searching and browsing images from the World Wide Web

Yavlinsky, Alexei; Heesch, Daniel and Rüger, Stefan (2006). A large scale system for searching and browsing images from the World Wide Web. In: Image and Video Retrieval, pp. 537–540.

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This paper outlines the technical details of a prototype system for searching and browsing over a million images from the World Wide Web using their visual contents. The system relies on two modalities for accessing images — automated image annotation and NNk image network browsing. The user supplies the initial query in the form of one or more keywords and is then able to locate the desired images more precisely using a browsing interface.

Item Type: Conference Item
Copyright Holders: 2006 Springer-Verlag
ISSN: 0302-9743
Extra Information: Published in: H. Sundaram et al. (Eds.): CIVR 2006, LNCS 4071, pp. 537-540, 2006
Academic Unit/Department: Knowledge Media Institute
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Item ID: 29876
Depositing User: Stefan Rüger
Date Deposited: 26 Oct 2011 15:37
Last Modified: 25 Feb 2016 14:12
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