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Recompilation of Broadcast Videos Based on Real-World Scenarios

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Advances in Multimedia Modeling

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7733))

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Abstract

In order to effectively make use of videos stored in a broadcast video archive, we have been working on their recompilation. In order to realize this, we take an approach that considers the videos in the archive as video materials, and recompiling them by considering various kinds of social media information as “scenarios”. In this paper, we will introduce our works in news, sports, and cooking domains, that makes use of Wikipedia articles, demoscopic polls, twitter tweets, and cooking recipes in order to recompile video clips from corresponding TV shows.

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References

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Author information

Authors and Affiliations

  1. Graduate School of Information Science, Nagoya University, 1 Furo-cho, Chikusa-ku, Nagoya, 464-8601, Japan

    Ichiro Ide

Authors
  1. Ichiro Ide
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Editor information

Editors and Affiliations

  1. Microsoft Research Asia, 5 Danling Street, 100080, Beijing, China

    Shipeng Li  & Tao Mei  & 

  2. School of Electrical Engineering and Computer Science, University of Ottawa, 800 King Edward, K1N 6N5, Ottawa, ON, Canada

    Abdulmotaleb El Saddik

  3. School of Computer and Information, Hefei University of Technology, Road Tunxi 193#, 230009, Hefei, Anhui, China

    Meng Wang  & Richang Hong  & 

  4. Department of Information Engineering and Computer Science, University of Trento, ommarive 14, 38100, Trento, Italy

    Nicu Sebe

  5. Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, 117583, Singapore, Singapore

    Shuicheng Yan

  6. School of Computing, CLARITY: Centre for Sensor Web Technologies, Dublin City University, Glasnevin, 9, Dublin, Ireland

    Cathal Gurrin

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© 2013 Springer-Verlag Berlin Heidelberg

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Ide, I. (2013). Recompilation of Broadcast Videos Based on Real-World Scenarios. In: Li, S., et al. Advances in Multimedia Modeling. Lecture Notes in Computer Science, vol 7733. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35728-2_6

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  • DOI: https://doi.org/10.1007/978-3-642-35728-2_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35727-5

  • Online ISBN: 978-3-642-35728-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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