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Automatic summarization of rushes video using bipartite graphs

Bai, Liang and Hu, Yanli and Lao, Songyang and Smeaton, Alan F. and O'Connor, Noel E. (2010) Automatic summarization of rushes video using bipartite graphs. Multimedia Tools and Applications, 49 (1). pp. 63-80. ISSN 1573-7721

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Abstract

In this paper we present a new approach for automatic summarization of rushes, or unstructured video. Our approach is composed of three major steps. First, based on shot and sub-shot segmentations, we filter sub-shots with low information content not likely to be useful in a summary. Second, a method using maximal matching in a bipartite graph is adapted to measure similarity between the remaining shots and to minimize inter-shot redundancy by removing repetitive retake shots common in rushes video. Finally, the presence of faces and motion intensity are characterised in each sub-shot. A measure of how representative the sub-shot is in the context of the overall video is then proposed. Video summaries composed of keyframe slideshows are then generated. In order to evaluate the effectiveness of this approach we re-run the evaluation carried out by TRECVid, using the same dataset and evaluation metrics used in the TRECVid video summarization task in 2007 but with our own assessors. Results show that our approach leads to a significant improvement on our own work in terms of the fraction of the TRECVid summary ground truth included and is competitive with the best of other approaches in TRECVid 2007.

Item Type:Article (Published)
Refereed:Yes
Additional Information:Further information Alan.Smeaton@dcu.ie The original publication is available at www.springerlink.com
Uncontrolled Keywords:video summarization; evaluation;
Subjects:Computer Science > Algorithms
Computer Science > Digital video
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
Publisher:Springer Netherlands
Official URL:http://dx.doi.org/10.1007/s11042-009-0398-1
Copyright Information:© 2009 Springer
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:14931
Deposited On:16 Oct 2009 09:53 by Alan F. Smeaton. Last Modified 17 May 2010 09:54

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