Region-of-interest-based subtitle placement using eye-tracking data of multiple viewers

Wataru Akahori, Shigeo Morishima, Tatsunori Hirai, Shunya Kawamura

    研究成果: Conference contribution

    6 引用 (Scopus)

    抜粋

    We present a subtitle-placement method that reduces viewer's eye movement without interfering with the target region of interest (ROI) in a video scene. Subtitles help viewers understand foreign-language videos. However, subtitles tend to attract viewers' line of sight, which cause viewers to lose focus on the video content. To address this problem, previous studies have attempted to improve viewer experiences by dynamically shifting subtitle positions. Nevertheless, in their user studies, some participants felt that the visual appearance of such subtitles was unnatural and caused them fatigue. We propose a method that places subtitles below the ROI, which is calculated by eye-tracking data from multiple viewers. Two experiments were conducted to evaluate viewer impression and compare line of sight for videos with subtitles placed by the proposed and previous methods.

    元の言語English
    ホスト出版物のタイトルTVX 2016 - Proceedings of the ACM International Conference on Interactive Experiences for TV and Online Video
    出版者Association for Computing Machinery, Inc
    ページ123-128
    ページ数6
    ISBN(電子版)9781450340670
    DOI
    出版物ステータスPublished - 2016 6 17
    イベント3rd ACM International Conference on Interactive Experiences for TV and Online Video, TVX 2016 - Chicago, United States
    継続期間: 2016 6 222016 6 24

    Other

    Other3rd ACM International Conference on Interactive Experiences for TV and Online Video, TVX 2016
    United States
    Chicago
    期間16/6/2216/6/24

    ASJC Scopus subject areas

    • Computer Science(all)

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  • これを引用

    Akahori, W., Morishima, S., Hirai, T., & Kawamura, S. (2016). Region-of-interest-based subtitle placement using eye-tracking data of multiple viewers. : TVX 2016 - Proceedings of the ACM International Conference on Interactive Experiences for TV and Online Video (pp. 123-128). Association for Computing Machinery, Inc. https://doi.org/10.1145/2932206.2933558