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

Smeaton, Alan F. and Over, Paul and Kraaij, Wessel (2004) TRECVID: evaluating the effectiveness of information retrieval tasks on digital video. In: 12th ACM International Conference on Multimedia 2004, 15-16 October 2004, New York, USA.

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Abstract

TRECVID is an annual exercise which encourages research in information retrieval from digital video by providing a large video test collection, uniform scoring procedures, and a forum for organizations interested in comparing their results. TRECVID benchmarking covers both interactive and manual searching by end users, as well as the benchmarking of some supporting technologies including shot boundary detection, extraction of some semantic features, and the automatic segmentation of TV news broadcasts into non-overlapping news stories. TRECVID has a broad range of over 40 participating groups from across the world and as it is now (2004) in its 4th annual cycle it is opportune to stand back and look at the lessons we have learned from the cumulative activity. In this paper we shall present a brief and high-level overview of the TRECVID activity covering the data, the benchmarked tasks, the overall results obtained by groups to date and an overview of the approaches taken by selective groups in some tasks. While progress from one year to the next cannot be measured directly because of the changing nature of the video data we have been using, we shall present a summary of the lessons we have learned from TRECVID and include some pointers on what we feel are the most important of these lessons.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Subjects:Computer Science > Digital video
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Publisher:Association for Computing Machinery
Official URL:http://dx.doi.org/10.1145/1027527.1027678
Copyright Information:© ACM, 2004. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution.
ID Code:372
Deposited On:28 Mar 2008 by DORAS Administrator. Last Modified 04 Feb 2009 11:37

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