research-article

A simplified approach to rushes summarization

Authors:

Francine Chen,

John Adcock,

Matthew CooperAuthors Info & Claims

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

Pages 60 - 64

https://doi.org/10.1145/1463563.1463573

Published: 31 October 2008 Publication History

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Abstract

In this paper we describe methods for video summarization in the context of the TRECVID 2008 BBC Rushes Summarization task. Color, motion, and audio features are used to segment, filter, and cluster the video. We experiment with varying the segment similarity measure to improve the joint clustering of segments with and without camera motion. Compared to our previous effort for TRECVID 2007 we have reduced the complexity of the summarization process as well as the visual complexity of the summaries themselves. We find our objective (inclusion) performance to be competitive with systems exhibiting similar subjective performance.

References

[1]

J.-Y. Bouget. Pyramidal implementation of the lucas kanade feature tracker. description of the algorithm. Technical report, Intel Corporation Microprocessor Research Lab, 2000.

Google Scholar

[2]

F. Chen, M. Cooper, and J. Adcock. Video summarization preserving dynamic content. In TVS'07: Proceedings of the international workshop on TRECVID video summarization, pages 40--44, New York, NY, USA, 2007. ACM

Digital Library

Google Scholar

[3]

M. Cooper and J. Foote. Scene boundary detection via video self-similarity analysis. In Proc. IEEE International Conference on Image Processing (ICIP), pages 378--81, 2001.

Crossref

Google Scholar

[4]

M. Detyniecki and C. Marsala. Video rushes summarization by adaptive acceleration and stacking of shots. In TVS '07: Proceedings of the international workshop on TRECVID video summarization, pages 65--69, New York, NY, USA, 2007. ACM.

Digital Library

Google Scholar

[5]

A. G. Hauptmann, M. G. Christel, W.-H. Lin, B. Maher, J. Yang, R. V. Baron, and G. Xiang. Clever clustering vs. simple speed-up for summarizing rushes. In TVS '07: Proceedings of the international workshop on TRECVID video summarization, pages 20--24, New York, NY, USA, 2007. ACM.

Digital Library

Google Scholar

[6]

J. Kleban, A. Sarkar, E. Moxley, S. Mangiat, S. Joshi, T. Kuo, and B. S. Manjunath. Feature fusion and redundancy pruning for rush video summarization. In TVS'07: Proceedings of the international workshop on TRECVID video summarization, pages 84--88, New York, NY, USA, 2007. ACM

Digital Library

Google Scholar

[7]

B. Lucas and T. Kanade. An iterative image registration technique with an application to stereo vision. In IJCAI81, pages 674--679, 1981.

Digital Library

Google Scholar

[8]

Open source computer vision library. http://www.intel.com/technology/computing/- opencv/.

Google Scholar

[9]

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

Digital Library

Google Scholar

[10]

P. Over, A. F. Smeaton, and P. Kelly. The TRECVID 2008 BBC rushes summarization evaluation pilot. In Proceedings of the TRECVID Workshop on Video Summarization (TVS'08), pages 1--15, New York, NY, September 2008. ACM Press.

Digital Library

Google Scholar

Cited By

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Valdés VMartínez J(2012)On-line video abstract generation of multimedia newsMultimedia Tools and Applications10.1007/s11042-011-0774-559:3(795-832)Online publication date: 1-Aug-2012
https://dl.acm.org/doi/10.1007/s11042-011-0774-5
Vald&3233;s VMartínez JVallet DRamzan NHalvey MPatrikakis C(2010)Introducing risplayerProceedings of the 2010 ACM workshop on Social, adaptive and personalized multimedia interaction and access10.1145/1878061.1878066(9-14)Online publication date: 29-Oct-2010
https://dl.acm.org/doi/10.1145/1878061.1878066
Valdés VMartínez J(2010)A framework for video abstraction systems analysis and modelling from an operational point of viewMultimedia Tools and Applications10.1007/s11042-009-0392-749:1(7-35)Online publication date: 1-Aug-2010
https://dl.acm.org/doi/10.1007/s11042-009-0392-7
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Index Terms

A simplified approach to rushes summarization
1. Information systems
  1. Information retrieval
    1. Document representation
2. Theory of computation
  1. Semantics and reasoning
    1. Program reasoning
      1. Abstraction

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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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Valdés VMartínez J(2012)On-line video abstract generation of multimedia newsMultimedia Tools and Applications10.1007/s11042-011-0774-559:3(795-832)Online publication date: 1-Aug-2012
https://dl.acm.org/doi/10.1007/s11042-011-0774-5
Vald&3233;s VMartínez JVallet DRamzan NHalvey MPatrikakis C(2010)Introducing risplayerProceedings of the 2010 ACM workshop on Social, adaptive and personalized multimedia interaction and access10.1145/1878061.1878066(9-14)Online publication date: 29-Oct-2010
https://dl.acm.org/doi/10.1145/1878061.1878066
Valdés VMartínez J(2010)A framework for video abstraction systems analysis and modelling from an operational point of viewMultimedia Tools and Applications10.1007/s11042-009-0392-749:1(7-35)Online publication date: 1-Aug-2010
https://dl.acm.org/doi/10.1007/s11042-009-0392-7
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 using a collaborative approach

Automatic summarization of rushes video using bipartite graphs

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