A large scale system for searching and browsing images from the world wide web

Authors:
Alexei Yavlinsky;Daniel Heesch;Stefan Rüger
Affiliations:
Department of Computing, Imperial College London, London, UK;Department of Electrical and Electronic Engineering, Imperial College London, London, UK;Department of Computing, Imperial College London, London, UK
Venue:
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
Year:
2006

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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.