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
download utorrent Hangul edition. 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 서전 시뮬레이터. 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."}" data-sheets-userformat="{"2":513,"3":[null,0],"12":0}">This work presents the Dynamic Object Scanning (DO-Scanning), a novel interface that helps users browse long and untrimmed first-person videos quickly Autocad 2018 Korean. 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 스웨거 폰트. 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 레이튼 미스터리 저니 무료 다운로드.