Authors | M. Jeppsson, H. Espeland, T. Kupka, R. Langseth, A. Petlund, P. Qiaoqiao, C. Xue, K. Pogorelov, M. Riegler, D. Johansen et al. |
Title | Efficient Live and on-Demand Tiled HEVC 360 VR Video Streaming |
Afilliation | Communication Systems, Machine Learning |
Project(s) | No Simula project, Department of Holistic Systems |
Status | Published |
Publication Type | Proceedings, refereed |
Year of Publication | 2018 |
Conference Name | 2018 IEEE International Symposium on Multimedia (ISM) |
Pagination | 81-88 |
Date Published | 12/2018 |
Publisher | IEEE |
Place Published | Taichung, Taiwan |
Abstract | With 360◦ panorama video technology becoming commonplace, the need for efficient streaming methods for such videos arises. We go beyond the existing on-demand solutions and present a live streaming system which strikes a trade-off between bandwidth usage and the video quality in the user’s field-of-view. We have created an architecture that combines RTP and DASH to deliver 360◦ VR content to a Huawei set-top-box and a Samsung Galaxy S7. Our system multiplexes a single HEVC hardware decoder to provide faster quality switching than at the traditional GOP boundaries. We demonstrate the performance and illustrate the trade-offs through real-world experiments where we can report comparable bandwidth savings to existing on-demand approaches, but with faster quality switches when the field-of- view changes. |
DOI | 10.1109/ISM.2018.00022 |
Citation Key | 26250 |