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TRECVID 2009 - goals, tasks, data, evaluation mechanisms and metrics

Over, Paul, Awad, George M., Fiscus, Jon, Michel, Martial, Smeaton, Alan F. orcid logoORCID: 0000-0003-1028-8389 and Kraaij, Wessel (2010) TRECVID 2009 - goals, tasks, data, evaluation mechanisms and metrics. In: TRECVid Workshop 2009, 16-17 November 2009, Gaithersburg, MD, USA.

Abstract
The TREC Video Retrieval Evaluation (TRECVID) 2009 was a TREC-style video analysis and retrieval evaluation, the goal of which was to promote progress in content-based exploitation of digital video via open, metrics-based evaluation. Over the last 9 years TRECVID has yielded a better understanding of how systems can effectively accomplish such processing and how one can reliably benchmark their performance. 63 teams from various research organizations — 28 from Europe, 24 from Asia, 10 from North America, and 1 from Africa — completed one or more of four tasks: high-level feature extraction, search (fully automatic, manually assisted, or interactive), copy detection, or surveillance event detection. This paper gives an overview of the tasks, data used, evaluation mechanisms and performance
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:No
Additional Information:Contact Alan.Smeaton@dcu.ie
Subjects:Computer Science > Machine learning
Computer Science > Multimedia systems
Computer Science > Image processing
Computer Science > Digital video
Computer Science > Information retrieval
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
Published in: Proceedings of TRECVid 2009. . National Institute for Standards and Technology (NIST).
Publisher:National Institute for Standards and Technology (NIST)
Official URL:http://www-nlpir.nist.gov/projects/tvpubs/tv.pubs....
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland
ID Code:15543
Deposited On:03 Aug 2010 10:21 by Alan Smeaton . Last Modified 02 Nov 2018 15:02
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