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Adaptive acceleration and shot stacking for video rushes summarization

Authors:

Marcin Detyniecki,

Christophe MarsalaAuthors Info & Claims

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

Pages 109 - 113

https://doi.org/10.1145/1463563.1463583

Published: 31 October 2008 Publication History

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Abstract

As the amount of recorded video data continually increases, a lot of teams around the world work to propose original methods on automatic video summarization. A particular kind of video is a rush: a rough draft of a movie or a documentary. In this paper, an approach is proposed to summarize the BBC rushes within the scope of the 2008 TREC Video Retrieval Evaluation task. We propose to summarize the videos by applying two successive steps, each dealing with a particular reduction. First, the stacking step focuses on the reduction of the macro redundancy with respect to similar takes of the same scene (rushes). The second step focuses on the time redundancy of the video flow and can be interpreted as an adaptive acceleration.

This approach provides good inclusion rates.

References

[1]

ACM. TRECVid Workshop on Video Summarization (TVS'07 at ACM Multimedia'07, Augsburg, Germany, September 2007.

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[2]

M. Detyniecki and C. Marsala. Video rushes summarization by adaptive acceleration and stacking of shots. In Proceedings of the ACM international workshop on TRECVID video summarization, pages 65--69, Augsburg, Germany, 2007.

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[3]

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, pages 1--??, Vancouver, British Columbia, Canada, 2008. ACM, New York, NY, USA.

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[4]

P. Over, A. F. Smeaton, and P. Kelly. The TRECVID 2007 BBC rushes summarization evaluation pilot. In Proc. of the TRECVid Workshop on Video Summarization (TVS'07), pages 1--15. ACM Press, New York (NY), September 2007.

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[5]

A. F. Smeaton, P. Over, and W. Kraaij. Evaluation campaigns and TRECVid. In MIR '06: Proceedings of the 8th ACM International Workshop on Multimedia Information Retrieval, pages 321--330, New York, NY, USA, 2006. ACM Press.

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Cited By

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Kopf JCohen MSzeliski R(2014)First-person hyper-lapse videosACM Transactions on Graphics10.1145/2601097.260119533:4(1-10)Online publication date: 27-Jul-2014
https://dl.acm.org/doi/10.1145/2601097.2601195
Dumont EMérialdo B(2010)Rushes video summarization and evaluationMultimedia Tools and Applications10.1007/s11042-009-0374-948:1(51-68)Online publication date: 1-May-2010
https://dl.acm.org/doi/10.1007/s11042-009-0374-9
Dumont EMérialdo B(2009)Automatic evaluation method for rushes summary contentProceedings of the 2009 IEEE international conference on Multimedia and Expo10.5555/1698924.1699088(666-669)Online publication date: 28-Jun-2009
https://dl.acm.org/doi/10.5555/1698924.1699088
Show More Cited By

Index Terms

Adaptive acceleration and shot stacking for video rushes summarization
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision

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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 ...

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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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Association for Computing Machinery

New York, NY, United States

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Published: 31 October 2008

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October 31, 2008

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Kopf JCohen MSzeliski R(2014)First-person hyper-lapse videosACM Transactions on Graphics10.1145/2601097.260119533:4(1-10)Online publication date: 27-Jul-2014
https://dl.acm.org/doi/10.1145/2601097.2601195
Dumont EMérialdo B(2010)Rushes video summarization and evaluationMultimedia Tools and Applications10.1007/s11042-009-0374-948:1(51-68)Online publication date: 1-May-2010
https://dl.acm.org/doi/10.1007/s11042-009-0374-9
Dumont EMérialdo B(2009)Automatic evaluation method for rushes summary contentProceedings of the 2009 IEEE international conference on Multimedia and Expo10.5555/1698924.1699088(666-669)Online publication date: 28-Jun-2009
https://dl.acm.org/doi/10.5555/1698924.1699088
Dumont EMerialdo B(2009)Automatic evaluation method for rushes summary content2009 IEEE International Conference on Multimedia and Expo10.1109/ICME.2009.5202584(666-669)Online publication date: Jun-2009
https://doi.org/10.1109/ICME.2009.5202584
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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Video rushes summarization by adaptive acceleration and stacking of shots

Rushes video summarization using audio-visual information and sequence alignment

Automatic summarization of rushes video using bipartite graphs

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