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Video summarization at Brno university of technology

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Ivo ŘezníčekAuthors Info & Claims

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

Pages 31 - 34

https://doi.org/10.1145/1463563.1463567

Published: 31 October 2008 Publication History

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Abstract

This paper describes the video summarization system built for the TRECVID 2008 evaluation by the Brno team. Motivations for the system design and its overall structure are described followed by more detailed description of the critical parts of the system. Low-level features, which are extracted from each frame, are clustered to group visually similar shots together. The final video summary production is an iterative procedure, where the probability, speed and trimming of each cluster candidate are evaluated until some criteria, such as final summary length, are fulfilled. The paper also contains the discussion about appropriate layout of the final video summary, taking into account experiences from the last TRECVID evaluation. The final conclusion points out the weak and strong aspects of the presented approach reflecting system performance in comparison with other state-of-the-art systems.

References

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Shirley, P. et. al. Fundamentals of Computer Graphics. AK Peters, Ltd., 2nd edition, ISBN 1--56881--269--8, 2005.

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Sumec, S. Multi Camera Automatic Video Editing. In Proceedings of ICCVG 2004. Warsaw, PL: Kluwer, 2004, 935--945.

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Dasgupta, S. Learning Mixtures of Gaussians. Proc. of Symposium on Foundations of Computer Science (FOCS), 1999.

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Over, P., Smeaton, A. F. and Awad, G. The TRECVid 2008 BBC rushes summarization evaluation. In TVS'08: Proceedings of the International Workshop on TRECVID Video Summarization, Vancouver, British Columbia, Canada, ACM, 2008, 1--20.

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[5]

Beran, V., Herout, A., Hradiš, M., Chmelař, P., Potúček, I., Sumec, S., Zemčík, P. Video Summarization at Brno University of Technology. In: ACM Multimedia, Augsburg, DE, ACM, 2007, 16--19.

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Cited By

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Yang HCao YSu HFan YZheng S(2014)The large-scale crowd analysis based on sparse spatial-temporal local binary patternMultimedia Tools and Applications10.1007/s11042-012-1264-073:1(41-60)Online publication date: 1-Nov-2014
https://dl.acm.org/doi/10.1007/s11042-012-1264-0
Castellanos RKalva HMarques OFurht BDoulamis AGonzàlez JBertini Mvan Gool LMatsatsinis NMoeslund TNixon MWang L(2010)Event detection in video using motion analysisProceedings of the first ACM international workshop on Analysis and retrieval of tracked events and motion in imagery streams10.1145/1877868.1877884(57-62)Online publication date: 29-Oct-2010
https://doi.org/10.1145/1877868.1877884
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

Index Terms

Video summarization at Brno university of technology
1. Computing methodologies
  1. Machine learning
    1. Learning paradigms
      1. Unsupervised learning
        Cluster analysis

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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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Yang HCao YSu HFan YZheng S(2014)The large-scale crowd analysis based on sparse spatial-temporal local binary patternMultimedia Tools and Applications10.1007/s11042-012-1264-073:1(41-60)Online publication date: 1-Nov-2014
https://dl.acm.org/doi/10.1007/s11042-012-1264-0
Castellanos RKalva HMarques OFurht BDoulamis AGonzàlez JBertini Mvan Gool LMatsatsinis NMoeslund TNixon MWang L(2010)Event detection in video using motion analysisProceedings of the first ACM international workshop on Analysis and retrieval of tracked events and motion in imagery streams10.1145/1877868.1877884(57-62)Online publication date: 29-Oct-2010
https://doi.org/10.1145/1877868.1877884
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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