IAM@ImageCLEFphoto 2009: Experiments on Maximising Diversity using Image Features

Hare, Jonathan, Dupplaw, David and Lewis, Paul, (2009) IAM@ImageCLEFphoto 2009: Experiments on Maximising Diversity using Image Features Borri, Francesca, Nardi, Alessandro and Peters, Carol (eds.) At CLEF 2009 Workshop, Greece. 30 Sep - 02 Oct 2009. , p. 42.


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This paper describes the diversity enabled retrieval system constructed at Southampton for the ImageCLEFphoto 2009 task. The retrieval system used Terrier as the underlying textual indexing and retrieval system, and combined it with a technique for re-ranking the results by maximising the visual dissimilarity of retrieved images. The results show that our visual re-ranking method does indeed work at increasing the diversity in the top results, however, at the same time it causes a slight drop in precision. The text-based approach designed for handling the `part 1 topics' of the task is also shown to perform very well.

Item Type: Conference or Workshop Item (Poster)
Additional Information: Event Dates: 30 September - 2 October 2009
Venue - Dates: CLEF 2009 Workshop, Greece, 2009-09-30 - 2009-10-02
Organisations: Web & Internet Science
ePrint ID: 267993
Date :
Date Event
30 September 2009Published
Date Deposited: 05 Oct 2009 11:53
Last Modified: 17 Apr 2017 18:39
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/267993

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