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TRECVID: benchmarking the effectiveness of information retrieval tasks on digital video

Smeaton, Alan F. and Over, Paul (2003) TRECVID: benchmarking the effectiveness of information retrieval tasks on digital video. In: CIVR 2003 - International Conference on Image and Video Retrieval, 24-25 July 2003 , Urbana-Champaign, IL, USA. ISBN 978-3-540-40634-1

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Many research groups worldwide are now investigating techniques which can support information retrieval on archives of digital video and as groups move on to implement these techniques they inevitably try to evaluate the performance of their techniques in practical situations. The difficulty with doing this is that there is no test collection or any environment in which the effectiveness of video IR or video IR sub-tasks, can be evaluated and compared. The annual series of TREC exercises has, for over a decade, been benchmarking the effectiveness of systems in carrying out various information retrieval tasks on text and audio and has contributed to a huge improvement in many of these. Two years ago, a track was introduced which covers shot boundary detection, feature extraction and searching through archives of digital video. In this paper we present a summary of the activities in the TREC Video track in 2002 where 17 teams from across the world took part.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Additional Information:The original publication is available at
Subjects:Computer Science > Digital video
Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Published in:Image and Video Retrieval. Lecture Notes in Computer Science 2728. Springer Berlin / Heidelberg. ISBN 978-3-540-40634-1
Publisher:Springer Berlin / Heidelberg
Official URL:
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:278
Deposited On:11 Mar 2008 by DORAS Administrator. Last Modified 10 Feb 2009 11:37

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