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Large scale evaluations of multimedia information retrieval: the TRECVid experience

Smeaton, Alan F. (2005) Large scale evaluations of multimedia information retrieval: the TRECVid experience. In: CIVR 2005 - International Conference on Image and Video Retrieval, 20-22 July 2005, Singapore. ISBN 978-3-540-27858-0

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Information Retrieval is a supporting technique which underpins a broad range of content-based applications including retrieval, filtering, summarisation, browsing, classification, clustering, automatic linking, and others. Multimedia information retrieval (MMIR) represents those applications when applied to multimedia information such as image, video, music, etc. In this presentation and extended abstract we are primarily concerned with MMIR as applied to information in digital video format. We begin with a brief overview of large scale evaluations of IR tasks in areas such as text, image and music, just to illustrate that this phenomenon is not just restricted to MMIR on video. The main contribution, however, is a set of pointers and a summarisation of the work done as part of TRECVid, the annual benchmarking exercise for video retrieval tasks.

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)
Research Initiatives and Centres > Adaptive Information Cluster (AIC)
Published in:Image and Video Retrieval. Lecture Notes in Computer Science 3568. Springer Berlin / Heidelberg. ISBN 978-3-540-27858-0
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
Funders:Science Foundation Ireland, SFI 03/IN.3/I361
ID Code:274
Deposited On:11 Mar 2008 by DORAS Administrator. Last Modified 06 May 2010 10:55

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