Aspect-based video browsing: a user study

  • Authors:
  • Frank Hopfgartner;Thierry Urruty;David Hannah;Desmond Elliott;Joemon M. Jose

  • Affiliations:
  • Department of Computing Science, University of Glasgow, Glasgow, UK;Department of Computing Science, University of Glasgow, Glasgow, UK;Department of Computing Science, University of Glasgow, Glasgow, UK;Department of Computing Science, University of Glasgow, Glasgow, UK;Department of Computing Science, University of Glasgow, Glasgow, UK

  • Venue:
  • ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
  • Year:
  • 2009

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Abstract

In this paper, we present a user study on a novel video search interface based on the concept of aspect browsing. We aim to confirm whether automatically suggesting new aspects can increase the performance of an aspect-based browser. The proposed strategy is to assist the user in exploratory video search by actively suggesting new query terms and video shots. We use a clustering technique to identify potential aspects and use the results to propose suggestions to the user to help them in their search task. We evaluate this approach by analysing the users' perception and by exploiting the log files.