Supporting aspect-based video browsing - analysis of a user study

Urruty, T., Hopfgartner, F. , Hannah, D., Elliott, D. and Jose, J.M. (2009) Supporting aspect-based video browsing - analysis of a user study. In: ACM International Conference on Image and Video Retrieval 2009, Santorini,Greece, 08-10 Jul 2009, ISBN 9781605584805

Abstract

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.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Jose, Professor Joemon and Hopfgartner, Dr Frank and Urruty, Mr Thierry and Elliott, Mr Desmond and Hannah, Mr David
• Authors: Urruty, T., Hopfgartner, F., Hannah, D., Elliott, D., and Jose, J.M.
• Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
• College/School: College of Arts & Humanities > School of Humanities > Information Studies; College of Science and Engineering > School of Computing Science
• ISBN: 9781605584805
• Copyright Holders: Copyright © 2009 Association for Computing Machinery
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher.