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 |
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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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