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A Method for Enriching Video-Watching Experience with Applied Effects Based on Eye Movements

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MultiMedia Modeling (MMM 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11296))

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Abstract

We propose a method to enrich the experience of watching videos by applying effects to video clips which are shared on the Web on the basis of eye movements. We implemented a prototype system as a Web browser extension and created several effects that are applied depending on the point of a viewer’s gaze. In addition, we conducted an experimental test, and clarified the usefulness of our effects, and investigated how adding the effects affected viewer experience.

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Notes

  1. 1.

    http://www.nicovideo.jp.

  2. 2.

    https://www.youtube.com/watch?v=J152z3NN00Q.

References

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Acknowledgments

This work was supported in part by JST ACCEL Grant Number JPMJAC1602, Japan.

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Authors and Affiliations

  1. Meiji University, 4-21-1 Nakano-ku, Tokyo, Japan

    Masayuki Tamura & Satoshi Nakamura

Authors
  1. Masayuki Tamura
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  2. Satoshi Nakamura
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Corresponding author

Correspondence to Masayuki Tamura .

Editor information

Editors and Affiliations

  1. Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece

    Ioannis Kompatsiaris

  2. EURECOM, Sophia Antipolis, France

    Benoit Huet

  3. Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece

    Vasileios Mezaris

  4. Dublin City University, Dublin, Ireland

    Cathal Gurrin

  5. National Chiao Tung University, Hsinchu, Taiwan

    Wen-Huang Cheng

  6. Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece

    Stefanos Vrochidis

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© 2019 Springer Nature Switzerland AG

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Tamura, M., Nakamura, S. (2019). A Method for Enriching Video-Watching Experience with Applied Effects Based on Eye Movements. In: Kompatsiaris, I., Huet, B., Mezaris, V., Gurrin, C., Cheng, WH., Vrochidis, S. (eds) MultiMedia Modeling. MMM 2019. Lecture Notes in Computer Science(), vol 11296. Springer, Cham. https://doi.org/10.1007/978-3-030-05716-9_44

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  • DOI: https://doi.org/10.1007/978-3-030-05716-9_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05715-2

  • Online ISBN: 978-3-030-05716-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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