Facet-based browsing in video retrieval: a simulation-based evaluation

Hopfgartner, F., Urruty, T., Villa, R. and Jose, J.M. (2009) Facet-based browsing in video retrieval: a simulation-based evaluation. Lecture Notes in Computer Science, 5371, pp. 472-483. (doi: 10.1007/978-3-540-92892-8_47)

Abstract

In this paper we introduce a novel interactive video retrieval approach which uses sub-needs of an information need for querying and organising the search process. The underlying assumption of this approach is that the search effectiveness will be enhanced when employed for interactive video retrieval. We explore the performance bounds of a faceted system by using the simulated user evaluation methodology on TRECVID data sets and also on the logs of a prior user experiment with the system. We discuss the simulated evaluation strategies employed in our evaluation and the effect on the use of both textual and visual features. The facets are simulated by the use of clustering the video shots using textual and visual features. The experimental results of our study demonstrate that the faceted browser can potentially improve the search effectiveness.

• Item Type: Articles
• Keywords: Aspect based browsing, video retrieval, user simulation, log file analysis.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Jose, Professor Joemon and Urruty, Mr Thierry and Villa, Dr Robert
• Authors: Hopfgartner, F., Urruty, T., Villa, R., and Jose, J.M.
• Subjects: Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science; Q Science > QA Mathematics > QA76 Computer software
• College/School: College of Arts & Humanities > School of Humanities > Information Studies; College of Science and Engineering > School of Computing Science
• Research Group: Information Retrieval
• Journal Name: Lecture Notes in Computer Science
• Publisher: Springer
• ISSN: 0302-9743
• ISSN (Online): 1611-3349