Computing at Glasgow University
Paper ID: 9185

Simulated Evaluation of Faceted Browsing based on Feature Selection
Hopfgartner,F. Urruty,T. Bermejo Lopez,P. Villa,R. Jose,J.M.

Publication Type: Not Entered
Appeared in: Multimedia Tools and Applications: Special Issue on Emerging Multimedia Applications
Page Numbers :
Publisher: Springer Verlag
Year: 2009

URL: This publication is available at this URL.


In this paper we explore the limitations of facet based browsing which uses sub-needs of an information need for querying and organising the search process in video retrieval. The underlying assumption of this approach is that the search effectiveness will be enhanced if such an approach is employed for interactive video retrieval using textual and visual features. We explore the performance bounds of a faceted system by carrying out a simulated user evaluation on TRECVid data sets, and also on the logs of a prior user experiment with the system. We first present a methodology to reduce the dimensionality of features by selecting the most important ones. Then, we discuss the simulated evaluation strategies employed in our evaluation and the effect on the use of both textual and visual features. Facets created by users are simulated by clustering video shots using textual and visual features. The experimental results of our study demonstrate that the faceted browser can potentially improve the search effectiveness.

Keywords: video retrieval, feature selection, clustering, log file analysis

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