Yavlinsky, Alexei; Heesch, Daniel and Rüger, Stefan
(2006).
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| DOI (Digital Object Identifier) Link: | https://doi.org/10.1007/11788034_63 |
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| Google Scholar: | Look up in Google Scholar |
Abstract
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 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. 537-540, 2006 |
| Academic Unit/School: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi) Faculty of Science, Technology, Engineering and Mathematics (STEM) |
| Related URLs: | |
| Item ID: | 29876 |
| Depositing User: | Stefan Rüger |
| Date Deposited: | 26 Oct 2011 15:37 |
| Last Modified: | 02 May 2018 13:32 |
| URI: | http://oro.open.ac.uk/id/eprint/29876 |
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