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

Dynamic Object Scanning: Object-Based Elastic Timeline for Quickly Browsing First-Person Videos

DOI: 10.1145/3170427.3189085

ACM Conference on Human Factors in Computing Systems (CHI2018), Posters, LBW611

https://dl.acm.org/citation.cfm?doid=3170427.3189085

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 fast-forwards the video adaptively while keeping scenes with highlighted cues played at original speed. Our experimental results have revealed that the DO-Scanning arranged an efficient and compact set of cues, and this set of cues is useful for browsing a diverse set of first-person videos.

[demo video]