Hopfgartner, F. , Hannah, D. and Jose, J.M. (2008) An Adaptive News Video Retrieval Framework. Third International Conference on Semantic and Digital Media Technologies (SAMT 2008), Koblenz, Germany, 3-5 December 2008.
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Text
5735.pdf - Accepted Version 634kB |
Abstract
The increasing popularity of video sharing platforms such as YouTube and Google Video increase the need to further study how users can be assisted in their search for videos they are interested in. In this demo, we present a video retrieval system which guarantees the user easy and effective access to a large news video collection. This system can be used to further study interaction methodologies, aiming for a personalised video retrieval model which adapts retrieval results to the user's interests.
| Item Type: | Conference or Workshop Item |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Jose, Professor Joemon and Hopfgartner, Dr Frank and Hannah, Mr David |
| Authors: | Hopfgartner, F., Hannah, D., and Jose, J.M. |
| Subjects: | 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 |
| Copyright Holders: | Copyright © 2008 The Authors |
| Publisher Policy: | Reproduced with the permission of the Authors |
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