Community based feedback techniques to improve video search

Vallet, D., Hopfgartner, F. , Halvey, M. and Jose, J.M. (2008) Community based feedback techniques to improve video search. Signal, Image and Video Processing, 2(4), pp. 289-306. (doi: 10.1007/s11760-008-0087-y)

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Publisher's URL: http://dx.doi.org/10.1007/s11760-008-0087-y

Abstract

In this paper, we present a novel approach to aid users in the difficult task of video search. We use a graph based model based on implicit feedback mined from the interactions of previous users of our video search system to provide recommendations to aid users in their search tasks. This approach means that users are not burdened with providing explicit feedback, while still getting the benefits of recommendations. The goal of this approach is to improve the quality of the results that users find, and in doing so also help users to explore a large and difficult information space. In particular we wish to make the challenging task of video search much easier for users. The results of our evaluation indicate that we achieved our goals, the performance of the users in retrieving relevant videos improved, and users were able to explore the collection to a greater extent.

Item Type:Articles
Additional Information:Special Issue on Multimedia Semantics, Adaptation and Personalization
Keywords:Video, search, collaborative, implicit, feedback, user study
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Jose, Professor Joemon and Hopfgartner, Dr Frank and Halvey, Dr Martin and Vallet, Mr David
Authors: Vallet, D., Hopfgartner, F., Halvey, M., and Jose, J.M.
Subjects:Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources
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:Signal, Image and Video Processing
Publisher:Springer
ISSN:1863-1703
ISSN (Online):1863-1711
Published Online:21 October 2008
Copyright Holders:Copyright © 2008 Springer-Verlag London Limited
First Published:First published in Signal, Image and Video Processing 2(4): 289-306
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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