A news video retrieval framework for the study of implicit relevance feedback.

Hopfgartner, F. and Jose, J.M. (2007) A news video retrieval framework for the study of implicit relevance feedback. In: Second International Workshop on Semantic Media Adaptation and Personalization, London, UK, 17-18 Dec 2007, pp. 233-236. (doi: 10.1109/SMAP.2007.12)

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Publisher's URL: http://dx.doi.org/10.1109/SMAP.2007.12

Abstract

In this paper, we propose a framework for recording, analysing, indexing and retrieving news videos such as the BBC one o'clock news. We believe that such a framework will be useful to identify implicit indicators of relevance, a nearly untouched area in adaptive multimedia retrieval. Due to its advantages as a Web application and its up-to-date content, it can be a promising approach to motivate a broad quantity of users to interact with the system.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Jose, Professor Joemon and Hopfgartner, Dr Frank
Authors: Hopfgartner, F., and Jose, J.M.
Subjects:Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
College/School:College of Science and Engineering > School of Computing Science
College of Arts & Humanities > School of Humanities > Information Studies
Research Group:Information Retrieval
First Published:First published in proceedings of the Second International Workshop on Semantic Media Adaptation and Personalization: 233-236
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher.

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