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Studying interaction methodologies in video retrieval

Published: 01 August 2008 Publication History

Abstract

So far, several approaches have been studied to bridge the problem of the Semantic Gap, the bottleneck in image and video retrieval. However, no approach is successful enough to increase retrieval performances significantly. One reason is the lack of understanding the user's interest, a major condition towards adapting results to a user. This is partly due to the lack of appropriate interfaces and the missing knowledge of how to interpret user's actions with these interfaces. In this paper, we propose to study the importance of various implicit indicators of relevance. Furthermore, we propose to investigate how this implicit feedback can be combined with static user profiles towards an adaptive video retrieval model.

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Cited By

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  • (2013)An integrated semantic-based approach in concept based video retrievalMultimedia Tools and Applications10.1007/s11042-011-0848-464:1(77-95)Online publication date: 1-May-2013
  • (2012)Web log analysisData Mining and Knowledge Discovery10.1007/s10618-011-0228-824:3(663-696)Online publication date: 1-May-2012

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Published In

cover image Proceedings of the VLDB Endowment
Proceedings of the VLDB Endowment  Volume 1, Issue 2
August 2008
461 pages

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VLDB Endowment

Publication History

Published: 01 August 2008
Published in PVLDB Volume 1, Issue 2

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View all
  • (2013)An integrated semantic-based approach in concept based video retrievalMultimedia Tools and Applications10.1007/s11042-011-0848-464:1(77-95)Online publication date: 1-May-2013
  • (2012)Web log analysisData Mining and Knowledge Discovery10.1007/s10618-011-0228-824:3(663-696)Online publication date: 1-May-2012

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