Visualisation and comparison of image collections based on self-organised maps

Authors:
Da Deng;Jianhua Zhang;Martin Purvis
Affiliations:
University of Otago, Dunedin, New Zealand;University of Otago, Dunedin, New Zealand;University of Otago, Dunedin, New Zealand
Venue:
ACSW Frontiers '04 Proceedings of the second workshop on Australasian information security, Data Mining and Web Intelligence, and Software Internationalisation - Volume 32
Year:
2004

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Abstract

Self-organised maps (SOM) have been widely used for cluster analysis and visualisation purposes in exploratory data mining. In image retrieval applications, SOMs have been used to visualise high-dimensional feature space and build indexing structures. In this paper, we extend the use of SOMs for profiling and comparison of image collections, and present empirical results obtained in collection visualisation, visual and quantitative comparison of collections, and a prototype system implementation.