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Sequence alignment for redundancy removal in video rushes summarization

Authors:

Emilie Dumont,

Bernard MérialdoAuthors Info & Claims

TVS '08: Proceedings of the 2nd ACM TRECVid Video Summarization Workshop

Pages 55 - 59

https://doi.org/10.1145/1463563.1463572

Published: 31 October 2008 Publication History

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Abstract

In this paper, we describe our approach to the TRECVID 2008 BBC Rushes Summarization task. First, we remove junk frames and dynamically accelerate videos according to their motion activity to maximize the content per time unit. Then, we search identical sequences using a sequence alignment algorithm derived from bio-informatics and we identify and structure scenes in videos, then we select one take per scene. We select the most relevant sequences in order to maximize the content and finally, we compose our summary in an original presentation. The produced summaries have been evaluated in the TRECVID campaign.

References

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E. Dumont and B. Mérialdo. Rushes video parsing using video sequence alignment. In Submitted to MMM 2009, the 15th International MultiMedia Modeling Conference, 7--9 January 2009, Sophia-Antipolis, France

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E. Dumont and B. Mérialdo. Split-screen dynamically accelerated video summaries. In MM 2007, 15th international ACM conference on multimedia, September 24--29, 2007, Augsburg, Germany Sep 2007.

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P. Over, A. F. Smeaton, and G. Awad. The TRECVid 2008 BBC rushes summarization evaluation. In TVS'08: Proceedings of the International Workshop on TRECVID Video Summarization 2008.

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Cited By

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Okopnyi PJuhlin OGuribye F(2022)Designing for Collaborative Video EditingNordic Human-Computer Interaction Conference10.1145/3546155.3546664(1-11)Online publication date: 8-Oct-2022
https://dl.acm.org/doi/10.1145/3546155.3546664
Bhaumik HBhattacharyya SChakraborty S(2017)Content Coverage and Redundancy Removal in Video SummarizationIntelligent Analysis of Multimedia Information10.4018/978-1-5225-0498-6.ch013(352-374)Online publication date: 2017
https://doi.org/10.4018/978-1-5225-0498-6.ch013
Valdes VMartinez J(2012)Automatic evaluation of video summariesACM Transactions on Multimedia Computing, Communications, and Applications10.1145/2240136.22401388:3(1-21)Online publication date: 6-Aug-2012
https://dl.acm.org/doi/10.1145/2240136.2240138
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Published In

TVS '08: Proceedings of the 2nd ACM TRECVid Video Summarization Workshop

October 2008

156 pages

ISBN:9781605583099

DOI:10.1145/1463563

General Chairs:
Paul Over
NIST, USA
,
Alan F. Smeaton
Dublin City University, Ireland

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 31 October 2008

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October 31, 2008

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Okopnyi PJuhlin OGuribye F(2022)Designing for Collaborative Video EditingNordic Human-Computer Interaction Conference10.1145/3546155.3546664(1-11)Online publication date: 8-Oct-2022
https://dl.acm.org/doi/10.1145/3546155.3546664
Bhaumik HBhattacharyya SChakraborty S(2017)Content Coverage and Redundancy Removal in Video SummarizationIntelligent Analysis of Multimedia Information10.4018/978-1-5225-0498-6.ch013(352-374)Online publication date: 2017
https://doi.org/10.4018/978-1-5225-0498-6.ch013
Valdes VMartinez J(2012)Automatic evaluation of video summariesACM Transactions on Multimedia Computing, Communications, and Applications10.1145/2240136.22401388:3(1-21)Online publication date: 6-Aug-2012
https://dl.acm.org/doi/10.1145/2240136.2240138
Papadopoulos DChatzichristofis SPapamarkos N(2011)Video summarization using a self-growing and self-organized neural gas networkProceedings of the 5th international conference on Computer vision/computer graphics collaboration techniques10.5555/2050320.2050339(216-226)Online publication date: 10-Oct-2011
https://dl.acm.org/doi/10.5555/2050320.2050339
Tanapichet PCooharojananone NLipikorn R(2011)Automatic comic strip generation using extracted keyframes from cartoon animation2011 International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS)10.1109/ISPACS.2011.6146180(1-6)Online publication date: Dec-2011
https://doi.org/10.1109/ISPACS.2011.6146180
Papadopoulos DChatzichristofis SPapamarkos N(2011)Video Summarization Using a Self-Growing and Self-Organized Neural Gas NetworkComputer Vision/Computer Graphics Collaboration Techniques10.1007/978-3-642-24136-9_19(216-226)Online publication date: 2011
https://doi.org/10.1007/978-3-642-24136-9_19
Over PSmeaton AAwad GOver PSmeaton A(2008)The trecvid 2008 BBC rushes summarization evaluationProceedings of the 2nd ACM TRECVid Video Summarization Workshop10.1145/1463563.1463564(1-20)Online publication date: 31-Oct-2008
https://dl.acm.org/doi/10.1145/1463563.1463564

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Rushes video summarization using audio-visual information and sequence alignment

Rushes video summarization and evaluation

Automatic summarization of rushes video using bipartite graphs

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