TY - GEN
T1 - 360TripleView
T2 - 2023 IEEE International Symposium on Multimedia, ISM 2023
AU - Zhou, Qian
AU - Wu, Mingyuan
AU - Zhang, Yinjie
AU - Zink, Michael
AU - Sitaraman, Ramesh
AU - Nahrstedt, Klara
N1 - This work was funded by the National Science Foundation under grant contracts NSF 1835834, NSF 1900875, NSF 1901137 and NSF 2106592. Any results and opinions are our own and do not represent views of National Science Foundation.
PY - 2023
Y1 - 2023
N2 - 360-degree video has become increasingly popular in content consumption. However, finding the viewing direction for important content within each frame poses a significant challenge. Existing approaches rely on either viewer input or algorithmic determination to select the viewing direction, but neither mode consistently outperforms the other in terms of content-importance. In this paper, we propose 360TripleView, the first view management system for 360-degree video that automatically infers and utilizes the better view mode for each frame, ultimately providing viewers with higher content-importance views. Through extensive experiments and a user study, we demonstrate that 360TripleView achieves over 90% accuracy in inferring the better mode and significantly enhances content-importance compared to existing methods.
AB - 360-degree video has become increasingly popular in content consumption. However, finding the viewing direction for important content within each frame poses a significant challenge. Existing approaches rely on either viewer input or algorithmic determination to select the viewing direction, but neither mode consistently outperforms the other in terms of content-importance. In this paper, we propose 360TripleView, the first view management system for 360-degree video that automatically infers and utilizes the better view mode for each frame, ultimately providing viewers with higher content-importance views. Through extensive experiments and a user study, we demonstrate that 360TripleView achieves over 90% accuracy in inferring the better mode and significantly enhances content-importance compared to existing methods.
UR - http://www.scopus.com/inward/record.url?scp=85190306724&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85190306724&partnerID=8YFLogxK
U2 - 10.1109/ISM59092.2023.00010
DO - 10.1109/ISM59092.2023.00010
M3 - Conference contribution
AN - SCOPUS:85190306724
T3 - Proceedings - 2023 IEEE International Symposium on Multimedia, ISM 2023
SP - 28
EP - 35
BT - Proceedings - 2023 IEEE International Symposium on Multimedia, ISM 2023
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 11 December 2023 through 13 December 2023
ER -