Diversity, Assortment, Dissimilarity, Variety: A Study of Diversity Measures Using Low Level Features for Video Retrieval

Halvey, M., Punitha, P., Hannah, D., Villa, R., Hopfgartner, F. and Jose, J. M. (2009) Diversity, Assortment, Dissimilarity, Variety: A Study of Diversity Measures Using Low Level Features for Video Retrieval. In: ECIR'09: 31st European Conference on Information Retrieval, Toulouse, France, 6-9 Apr 2009, pp. 126-137. ISBN 9783642009570 (doi: 10.1007/978-3-642-00958-7_14)

Abstract

In this paper we present a number of methods for re-ranking video search results in order to introduce diversity into the set of search results. The usefulness of these approaches is evaluated in comparison with similarity based measures, for the TRECVID 2007 collection and tasks [11]. For the MAP of the search results we find that some of our approaches perform as well as similarity based methods. We also find that some of these results can improve the P@N values for some of the lower N values. The most successful of these approaches was then implemented in an interactive search system for the TRECVID 2008 interactive search tasks. The responses from the users indicate that they find the more diverse search results extremely useful.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Jose, Professor Joemon and Hopfgartner, Dr Frank and Hannah, Mr David and Halvey, Dr Martin and Villa, Dr Robert
• Authors: Halvey, M., Punitha, P., Hannah, D., Villa, R., Hopfgartner, F., and Jose, J. M.
• College/School: College of Arts & Humanities > School of Humanities > Information Studies; College of Science and Engineering > School of Computing Science
• Publisher: Springer Verlag
• ISSN: 0302-9743
• ISBN: 9783642009570
• Copyright Holders: Copyright © 2009 Springer-Verlag Berlin Heidelberg
• First Published: First published in Advances in Information Retrieval: 126-137
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher