Yavlinsky, Alexei; Heesch, Daniel and Rüger, Stefan
(2006).
A large scale system for searching and browsing images from the World Wide Web.
In: 5th International Conference on Image and Video Retrieval (CIVR 2006), 13-15 July 2006, Tempe, Arizona, pp. 537–540.
Full text available as:
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 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 |
| Related URLs: |
|
| Item ID: |
29876 |
| Depositing User: |
Stefan Rüger
|
| Date Deposited: |
26 Oct 2011 15:37 |
| Last Modified: |
24 Oct 2012 07:53 |
| URI: |
http://oro.open.ac.uk/id/eprint/29876 |
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