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Video shot boundary detection: seven years of TRECVid activity

Smeaton, Alan F. and Over, Paul and Doherty, Aiden R. (2010) Video shot boundary detection: seven years of TRECVid activity. Computer Vision and Image Understanding, 114 (4). pp. 411-418. ISSN 1077-3142

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Shot boundary detection (SBD) is the process of automatically detecting the boundaries between shots in video. It is a problem which has attracted much attention since video became available in digital form as it is an essential pre-processing step to almost all video analysis, indexing, summarisation, search, and other content-based operations. Automatic SBD was one of the tracks of activity within the annual TRECVid benchmarking exercise, each year from 2001 to 2007 inclusive. Over those seven years we have seen 57 different research groups from across the world work to determine the best approaches to SBD while using a common dataset and common scoring metrics. In this paper we present an overview of the TRECVid shot boundary detection task, a high-level overview of the most significant of the approaches taken, and a comparison of performances, focussing on one year (2005) as an example.

Item Type:Article (Published)
Additional Information:Paul Over is with the National Institute of Standards and Technology, Gaithersburg,Md. Contact author
Subjects:Computer Science > Video compression
Computer Science > Multimedia systems
Computer Science > Digital video
Computer Science > Image processing
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
Official URL:
Copyright Information:Copyright © 2009 Elsevier Inc.
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:4080
Deposited On:31 Mar 2009 11:37 by Alan Smeaton. Last Modified 01 Mar 2010 14:15

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