Dynamic object scanning: Object-based elastic timeline for quickly browsing first-person videos

Seita Kayukawa, Keita Higuchi, Ryo Yonetani, Masanori Nakamura, Yoichi Sato, Shigeo Morishima

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    This work presents the Dynamic Object Scanning (DO-Scanning), a novel interface that helps users browse long and untrimmed first-person videos quickly. The proposed interface offers users a small set of object cues generated automatically tailored to the context of a given video. Users choose which cue to highlight, and the interface in turn adaptively fast-forwards the video while keeping scenes with highlighted cues played at original speed. Our experimental results have revealed that the DO-Scanning has an efficient and compact set of cues arranged dynamically and this set of cues is useful for browsing a diverse set of first-person videos.

    Original languageEnglish
    Title of host publicationCHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
    Subtitle of host publicationEngage with CHI
    PublisherAssociation for Computing Machinery
    Volume2018-April
    ISBN (Electronic)9781450356206, 9781450356213
    DOIs
    Publication statusPublished - 2018 Apr 20
    Event2018 CHI Conference on Human Factors in Computing Systems, CHI EA 2018 - Montreal, Canada
    Duration: 2018 Apr 212018 Apr 26

    Other

    Other2018 CHI Conference on Human Factors in Computing Systems, CHI EA 2018
    CountryCanada
    CityMontreal
    Period18/4/2118/4/26

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    Keywords

    • Content-aware video fast-forwarding
    • First-person videos

    ASJC Scopus subject areas

    • Human-Computer Interaction
    • Computer Graphics and Computer-Aided Design
    • Software

    Cite this

    Kayukawa, S., Higuchi, K., Yonetani, R., Nakamura, M., Sato, Y., & Morishima, S. (2018). Dynamic object scanning: Object-based elastic timeline for quickly browsing first-person videos. In CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI (Vol. 2018-April). [D503] Association for Computing Machinery. https://doi.org/10.1145/3170427.3186501