research-article

The COST292 experimental framework for rushes summarization task in TRECVID 2008

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Naiara AginakoAuthors Info & Claims

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

Pages 40 - 44

https://doi.org/10.1145/1463563.1463569

Published: 31 October 2008 Publication History

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Abstract

In this paper, the method used for Rushes Summarization task by the COST 292 consortium is reported. The approach proposed this year differs significantly from the one proposed in the previous years because of the introduction of new processing steps, like repetition detection in scenes. The method starts with junk frames removal and follows with clustering and scene detection; then for each scene, repetitions are detected in order to extract once the real scene; the following step consists in face detections (faces are considered semantically relevant) and in pan, tilt and zoom detections (other camera motions are usually related to technical operations in the backstage); finally the summary is extracted.

References

[1]

Opencv. http://opencvlibrary. sourceforge. net, 2007.

Google Scholar

[2]

A. Don, L. Carminati, and J. Benois-Pineau. Detection of visual dialog scenes in video content based on structural and semantic features. In Proc. CBMI'05 Létonie, 2005.

Google Scholar

[3]

E. Kasutani and A. Yamada. The mpeg-7 color layout descriptor: a compact image feature description of high-speed image/video segment retrieval. In ICIP 2001 Greece, 2001.

Crossref

Google Scholar

[4]

P. Kraemer, J. Benois-Pineau, and M. Gràcia Pla. Indexing camera motion integrating knowledge of quality of the encoded video. In Proc. SAMT'06 2006.

Google Scholar

[5]

M. Meila and J. Shi. Learning segmentation by random walks. In NIPS 2000.

Google Scholar

[6]

M. Meila and J. Shi. A random walks view of spectral segmentation, 2001.

Google Scholar

[7]

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--20, New York, NY, USA, 2008. ACM.

Digital Library

Google Scholar

[8]

X. Qian, G. Liu, and R. Su. Effective fades and flashlight detection based on accumulating histogram difference. IEEE Transactions On Circuits And Systems For Video Technology 16(10), 2001.

Digital Library

Google Scholar

[9]

J. Shi and J. Malik. Normalized cuts and image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(8), 2000.

Digital Library

Google Scholar

Cited By

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Boukadida HBerrani SGros P(2017)Automatically Creating Adaptive Video Summaries Using Constraint Satisfaction ProgrammingIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2015.251367827:4(920-934)Online publication date: 1-Apr-2017
https://dl.acm.org/doi/10.1109/TCSVT.2015.2513678
Samani ZMoghaddam M(2017)A knowledge-based semantic approach for image collection summarizationMultimedia Tools and Applications10.1007/s11042-016-3840-176:9(11917-11939)Online publication date: 1-May-2017
https://dl.acm.org/doi/10.1007/s11042-016-3840-1
Sargent GPerez-Daniel KStoian ABenois-Pineau JMaabout SNicolas HMiyatake MCarrive J(2016)A scalable summary generation method based on cross-modal consensus clustering and OLAP cube modelingMultimedia Tools and Applications10.1007/s11042-015-2863-375:15(9073-9094)Online publication date: 1-Aug-2016
https://dl.acm.org/doi/10.1007/s11042-015-2863-3
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Index Terms

The COST292 experimental framework for rushes summarization task in TRECVID 2008
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision

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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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 31 October 2008

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MM08: ACM Multimedia Conference 2008

October 31, 2008

British Columbia, Vancouver, Canada

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Cited By

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Boukadida HBerrani SGros P(2017)Automatically Creating Adaptive Video Summaries Using Constraint Satisfaction ProgrammingIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2015.251367827:4(920-934)Online publication date: 1-Apr-2017
https://dl.acm.org/doi/10.1109/TCSVT.2015.2513678
Samani ZMoghaddam M(2017)A knowledge-based semantic approach for image collection summarizationMultimedia Tools and Applications10.1007/s11042-016-3840-176:9(11917-11939)Online publication date: 1-May-2017
https://dl.acm.org/doi/10.1007/s11042-016-3840-1
Sargent GPerez-Daniel KStoian ABenois-Pineau JMaabout SNicolas HMiyatake MCarrive J(2016)A scalable summary generation method based on cross-modal consensus clustering and OLAP cube modelingMultimedia Tools and Applications10.1007/s11042-015-2863-375:15(9073-9094)Online publication date: 1-Aug-2016
https://dl.acm.org/doi/10.1007/s11042-015-2863-3
Wang FNgo C(2012)Summarizing Rushes Videos by Motion, Object, and Event UnderstandingIEEE Transactions on Multimedia10.1109/TMM.2011.216553114:1(76-87)Online publication date: 1-Feb-2012
https://dl.acm.org/doi/10.1109/TMM.2011.2165531
Hu WXie NLi Zeng XMaybank S(2011)A Survey on Visual Content-Based Video Indexing and RetrievalIEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews10.1109/TSMCC.2011.210971041:6(797-819)Online publication date: 1-Nov-2011
https://dl.acm.org/doi/10.1109/TSMCC.2011.2109710
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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