research-article

Regim, research group on intelligent machines, tunisia, at TRECVID 2008, BBC rushes summarization

Authors:

Mehdi Ellouze,

Hichem Karray,

Adel M. AlimiAuthors Info & Claims

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

Pages 105 - 108

https://doi.org/10.1145/1463563.1463582

Published: 31 October 2008 Publication History

Get Access

Abstract

In this paper, we describe our system used to summarize BBC rushes, the TRECVID database. Our summarization process starts with shot boundary detection. Then we filter obtained shots to retain only useful ones. After that we try to localize from every retained shot the important parts (sub-shots). Finally, we select some of them to formulate the skim. The selection of sub-shots must respond to many criteria as redundancy removing, covering all important events of the original video sequence and not exceeding the upper duration. Genetic algorithms are naturally suited for doing incremental selection. We use it to do the selection of relevant subs-shots. We consider the summarization process as an optimization problem which takes into consideration all evoked criteria. The obtained results are encouraging.

References

[1]

Lowe, D. G., Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2):91--110, 2004.

Digital Library

Google Scholar

[2]

P. Over, P., Smeaton, A. F., and Awad, G. The TRECVID 2008 BBC rushes summarization evaluation pilot. In Proceedings of the TRECVID Workshop on Video Summarization (TVS'08), pages 1--20, New York, NY, October 2008. ACM Press.

Digital Library

Google Scholar

[3]

Truong,B. T., and Venkatesh., S., Video abstraction: A systematic review and classification. ACM Transactions on Multimedia Computing, Communications and Applications (ACM TOMCCAP), 3(1), Jan 2007.

Digital Library

Google Scholar

[4]

Ellouze, M., Karray, H. and Alimi, A., M. Genetic Algorithm For Summarizing News Stories. In Proceedings of international conference on computer vision theory and applications, pp. 303--308, March 2006.

Google Scholar

[5]

Wang, F., and Ngo, C. W., Rushes Video Summarization by Object and Event Understanding, TRECVID BBC Rushes Summarization Workshop at ACM Multimedia '07, September 2007.

Digital Library

Google Scholar

[6]

Goldberg D. E., 1989, Genetic Algorithms in Search, Optimization, and Machine Learning

Digital Library

Google Scholar

[7]

NIST, http://www-nlpir.nist.gov, Last Visited July 2008

Google Scholar

Cited By

View all

Ellouze M(2021)Social Network Community Detection by Combining Self-Organizing Maps and Genetic AlgorithmsComplexity10.1155/2021/66991302021(1-14)Online publication date: 21-Oct-2021
https://doi.org/10.1155/2021/6699130
Ayadi TEllouze MHamdani TAlimi A(2012)Movie scenes detection with MIGSOM based on shots semi-supervised clusteringNeural Computing and Applications10.1007/s00521-012-0930-522:7-8(1387-1396)Online publication date: 12-Apr-2012
https://doi.org/10.1007/s00521-012-0930-5
Ellouze MBoujemaa NAlimi A(2010)IM(S)2Journal of Visual Communication and Image Representation10.1016/j.jvcir.2010.01.00721:4(283-294)Online publication date: 1-May-2010
https://dl.acm.org/doi/10.1016/j.jvcir.2010.01.007
Show More Cited By

Index Terms

Regim, research group on intelligent machines, tunisia, at TRECVID 2008, BBC rushes summarization

Recommendations

The Hong Kong Polytechnic University at TRECVID 2007 BBC rushes summarization
TVS '07: Proceedings of the international workshop on TRECVID video summarization

In this paper, we propose the framework and methodology for BBC rushes summarization task of TRECVID 2007. We divide the entire task into three sub-tasks: shot segmentation; noise shot detection and removal; video summarization. We first segment the ...
Dublin City University at the TRECVid 2008 BBC rushes summarisation task
TVS '08: Proceedings of the 2nd ACM TRECVid Video Summarization Workshop

We describe the video summarisation systems submitted by Dublin City University to the TRECVid 2008 BBC Rushes Summarisation task. We introduce a new approach to redundant video summarisation based on principal component analysis and linear discriminant ...
The trecvid 2007 BBC rushes summarization evaluation pilot
TVS '07: Proceedings of the international workshop on TRECVID video summarization

This paper provides an overview of a pilot evaluation of video summaries using rushes from several BBC dramatic series. It was carried out under the auspices of TRECVID. Twenty-two research teams submitted video summaries of up to 4% duration, of 42 ...

Comments

Information & Contributors

Information

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]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 31 October 2008

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

MM08

Sponsor:

MM08: ACM Multimedia Conference 2008

October 31, 2008

British Columbia, Vancouver, Canada

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

5
Total Citations
View Citations
101
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 05 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Ellouze M(2021)Social Network Community Detection by Combining Self-Organizing Maps and Genetic AlgorithmsComplexity10.1155/2021/66991302021(1-14)Online publication date: 21-Oct-2021
https://doi.org/10.1155/2021/6699130
Ayadi TEllouze MHamdani TAlimi A(2012)Movie scenes detection with MIGSOM based on shots semi-supervised clusteringNeural Computing and Applications10.1007/s00521-012-0930-522:7-8(1387-1396)Online publication date: 12-Apr-2012
https://doi.org/10.1007/s00521-012-0930-5
Ellouze MBoujemaa NAlimi A(2010)IM(S)2Journal of Visual Communication and Image Representation10.1016/j.jvcir.2010.01.00721:4(283-294)Online publication date: 1-May-2010
https://dl.acm.org/doi/10.1016/j.jvcir.2010.01.007
Ellouze MBoujemaa NAlimi A(2010)Scene pathfinderMultimedia Tools and Applications10.1007/s11042-009-0325-547:2(325-346)Online publication date: 1-Apr-2010
https://dl.acm.org/doi/10.1007/s11042-009-0325-5
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

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Index Terms

Recommendations

The Hong Kong Polytechnic University at TRECVID 2007 BBC rushes summarization

Dublin City University at the TRECVid 2008 BBC rushes summarisation task

The trecvid 2007 BBC rushes summarization evaluation pilot

Comments

Information

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations