An online system for gathering image similarity judgements

Authors:
Alexei Yavlinsky;Daniel Heesch
Affiliations:
Imperial College London, London, United Kingdom;Imperial College London, London, United Kingdom
Venue:
Proceedings of the 15th international conference on Multimedia
Year:
2007

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Abstract

We describe an online application that allows users to provide similarity judgements whilst browsing a collection of 60,000 photographs. One immediate goal is to modify the initial browsing structure in response to the feedback. We thus suggest a long-term relevance feedback technique that integrates user information over multiple sessions. The principal role of the system, however, is that of a tool for acquiring a rich dataset of similarity relationships between images which we plan to make available to the community and which can be used for training and evaluation purposes. Two particular ways of how to use the data will be described in detail.