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Text-Based Video Scene Segmentation: A Novel Method to Determine Shot Boundaries

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Advances in Network-Based Information Systems (NBiS 2017)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 7))

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Abstract

We propose a video data management system built on a hierarchical structure, in which each video is a work that is divided into scenes, and the scenes are further subdivided into shots to improve search efficiency. In our system, scene-level video segmentations are manually defined according to scene transitions. However, shot-level video segmentations within a scene should be defined automatically, because the numbers of shots is relatively large compared to that of scenes. Therefore, in this study, we developed a method to calculate shot segmentation automatically, based on information contained in closed captions, and we conducted an experiment using the method. This paper presents both a description of the novel segmentation method and the result of our experiment.

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Notes

  1. 1.

    We would like to special thanks to the public relations office of the university for giving us permission to use the video data.

  2. 2.

    The latter one is translated to English at https://www.youtube.com/watch?v=oattjj5t6N8.

  3. 3.

    In Japanese sentences, words are concatenated; therefore we have to use morphological analysis to separate words before any text-mining procedures.

  4. 4.

    Duration can be calculated from timestamps, automatically.

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Acknowledgement

This study was funded by the Chuo University Grant for Special Research. We are grateful to the members of our laboratory for their valuable insights, feedback, and much helpful support, which brought the experiment to a successful conclusion.

Author information

Authors and Affiliations

  1. Chuo University, Hachioji-shi, Tokyo, 192-0393, Japan

    Jun Iio & Tongjin Lee

Authors
  1. Jun Iio
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  2. Tongjin Lee
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Corresponding author

Correspondence to Jun Iio .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Rissho University, Tokyo, Japan

    Tomoya Enokido

  3. Hosei University, Tokyo, Japan

    Makoto Takizawa

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Iio, J., Lee, T. (2018). Text-Based Video Scene Segmentation: A Novel Method to Determine Shot Boundaries. In: Barolli, L., Enokido, T., Takizawa, M. (eds) Advances in Network-Based Information Systems. NBiS 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 7. Springer, Cham. https://doi.org/10.1007/978-3-319-65521-5_100

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  • DOI: https://doi.org/10.1007/978-3-319-65521-5_100

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65520-8

  • Online ISBN: 978-3-319-65521-5

  • eBook Packages: EngineeringEngineering (R0)

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