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Multi-view Video Summarization

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Information Systems Design and Intelligent Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 435))

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Abstract

Video summarization is the most important video content service which gives us a short and condensed representation of the whole video content. It also ensures the browsing, mining, and storage of the original videos. The multi- view video summaries will produce only the most vital events with more detailed information than those of less salient ones. As such, it allows the interface user to get only the important information or the video from different perspectives of the multi-view videos without watching the whole video. In our research paper, we are focusing on a series of approaches to summarize the video content and to get a compact and succinct visual summary that encapsulates the key components of the video. Its main advantage is that the video summarization can turn numbers of hours long video into a short summary that an individual viewer can see in just few seconds.

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References

  1. Luis Herran Zandv Jose M. Martinez, “A Frame for Scalable Summarization of Video” IEEE Transactions on Circuits and Systems For Video Technology, Vol. 20, Issue 9, September 2010.

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  2. W Ren and Y Zhu, “A video summarization approach based on machine learning” International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IEEE, 2008.

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  3. L. Coelho, L. A. D. S. Cruz, L. Ferreira, and P. A. Assunção, “An improved sub-optimal video summarization algorithm” International Symposium ELMAR (Electronics in Marine)—2010, IEEE, 2010

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  4. Z. Li, G. M. Schuster, and A. K. Katsaggelos, “Minmax optimal video summarization” IEEE Transactions on Circuits and Systems for Video Technology, 2005

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Correspondence to Chintureena Thingom .

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© 2016 Springer India

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Thingom, C., Yeon, G. (2016). Multi-view Video Summarization. In: Satapathy, S., Mandal, J., Udgata, S., Bhateja, V. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 435. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2757-1_46

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  • DOI: https://doi.org/10.1007/978-81-322-2757-1_46

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2756-4

  • Online ISBN: 978-81-322-2757-1

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