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 | |
| 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 |
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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
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
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TY - GEN
T1 - Dynamic object scanning
T2 - Object-based elastic timeline for quickly browsing first-person videos
AU - Kayukawa, Seita
AU - Higuchi, Keita
AU - Yonetani, Ryo
AU - Nakamura, Masanori
AU - Sato, Yoichi
AU - Morishima, Shigeo
PY - 2018/4/20
Y1 - 2018/4/20
N2 - 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.
AB - 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.
KW - Content-aware video fast-forwarding
KW - First-person videos
UR - http://www.scopus.com/inward/record.url?scp=85052023338&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85052023338&partnerID=8YFLogxK
U2 - 10.1145/3170427.3186501
DO - 10.1145/3170427.3186501
M3 - Conference contribution
VL - 2018-April
BT - CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
ER -