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

doi:10.1145/3170427.3186501

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 proceeding › Conference 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 language	English
Title of host publication	CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
Subtitle of host publication	Engage with CHI
Publisher	Association for Computing Machinery
Volume	2018-April
ISBN (Electronic)	9781450356206, 9781450356213
DOIs	https://doi.org/10.1145/3170427.3186501
Publication status	Published - 2018 Apr 20
Event	2018 CHI Conference on Human Factors in Computing Systems, CHI EA 2018 - Montreal, Canada Duration: 2018 Apr 21 → 2018 Apr 26

Other

Other	2018 CHI Conference on Human Factors in Computing Systems, CHI EA 2018
Country	Canada
City	Montreal
Period	18/4/21 → 18/4/26

Fingerprint

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

Dynamic object scanning : Object-based elastic timeline for quickly browsing first-person videos. / Kayukawa, Seita; Higuchi, Keita; Yonetani, Ryo; Nakamura, Masanori; Sato, Yoichi; Morishima, Shigeo.

CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. Vol. 2018-April Association for Computing Machinery, 2018. D503.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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, 2018 CHI Conference on Human Factors in Computing Systems, CHI EA 2018, Montreal, Canada, 18/4/21. https://doi.org/10.1145/3170427.3186501

Kayukawa S, Higuchi K, Yonetani R, Nakamura M, Sato Y, Morishima S. 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. Association for Computing Machinery. 2018. D503 https://doi.org/10.1145/3170427.3186501

Kayukawa, Seita ; Higuchi, Keita ; Yonetani, Ryo ; Nakamura, Masanori ; Sato, Yoichi ; Morishima, Shigeo. / Dynamic object scanning : Object-based elastic timeline for quickly browsing first-person videos. CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. Vol. 2018-April Association for Computing Machinery, 2018.

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Access to Document

10.1145/3170427.3186501