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

Record type: Conference or Workshop Item (Poster)

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.

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Citation

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.

More information

Published date: 30 September 2009
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

Identifiers

Local EPrints ID: 267993
URI: http://eprints.soton.ac.uk/id/eprint/267993
PURE UUID: 1d545c4c-f31f-44dd-bc43-84ee5e103fe2
ORCID for Jonathan Hare: ORCID iD orcid.org/0000-0003-2921-4283

Catalogue record

Date deposited: 05 Oct 2009 11:53
Last modified: 18 Jul 2017 06:57

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Contributors

Author: Jonathan Hare ORCID iD
Author: David Dupplaw
Author: Paul Lewis
Editor: Francesca Borri
Editor: Alessandro Nardi
Editor: Carol Peters

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