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The TREC2001 Video Track: Information Retrieval on Digital Video Information

Alan F. Smeaton6, Paul Over7, Cash J. Costello8, Arjen P. de Vries9, David Doermann10, Alexander Hauptmann11, Mark E. Rorvig12, John R. Smith13 and Lide Wu14

(6)  Centre for Digital Video Processing, Dublin City University, 9 Dublin, Ireland
(7)  National Institute for Standards and Technology, Gaithersburg, Md., USA
(8)  Applied Physics Laboratory, Johns Hopkins University, Laurel, Md., USA
(9)  CWI, Amsterdam, The Netherlands
(10)  Laboratory for Language and Media Processing, University of Maryland, College Park, MD., USA
(11)  School of Computer Science, Carnegie Mellon University, USA
(12)  School of Library Information Sciences, University of North Texas, Tx., USA
(13)  IBM T. J. Watson Research Center, Hawthorne, NY, USA
(14)  Dept. of Computer Science, Fudan University, Shanghai, China
Abstract
The development of techniques to support content-based access to archives of digital video information has recently started to receive much attention from the research community. During 2001, the annual TREC activity, which has been benchmarking the performance of information retrieval techniques on a range of media for 10 years, included a ”track“ or activity which allowed investigation into approaches to support searching through a video library. This paper is not intended to provide a comprehensive picture of the different approaches taken by the TREC2001 video track participants but instead we give an overview of the TREC video search task and a thumbnail sketch of the approaches taken by different groups. The reason for writing this paper is to highlight the message from the TREC video track that there are now a variety of approaches available for searching and browsing through digital video archives, that these approaches do work, are scalable to larger archives and can yield useful retrieval performance for users. This has important implications in making digital libraries of video information attainable.

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