Computing at Glasgow University
Paper ID: 9183

Supporting Aspect-Based Video Browsing -- Analysis of a User Study
Urruty,T. Hopfgartner,F. Hannah,D. Elliott,D. Jose,J.M.

Publication Type: Conference Proceedings
Appeared in: CIVR'09 - Proceedings of the ACM International Conference on Image and Video Retrieval, Santorini, Greece
Page Numbers : 74-81
Publisher: ACM Press
Year: 2009

In this paper, we present a novel video search interface based on the concept of aspect browsing. The proposed strategy is to assist the user in exploratory video search by actively suggesting new query terms and video shots. Our approach has the potential to narrow the "Semantic Gap" issue by allowing users to explore the data collection. First, we describe a clustering technique to identify potential aspects of a search. Then, we use the results to propose suggestions to the user to help them in their search task. Finally, we analyse this approach by exploiting the log files and the feedbacks of a user study.

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