Name
Abstract | ||
|---|---|---|
With the rapidly increasing resolutions of 360° cameras, head-mounted displays, and live-streaming services, streaming high-resolution panoramic videos over limited-bandwidth networks is becoming a critical challenge. Foveated video streaming can address this rising challenge in the context of eye-tracking-equipped virtual reality head-mounted displays. However, conventional log-polar foveated rendering suffers from a number of visual artifacts such as aliasing and flickering. In this paper, we introduce a new log-rectilinear transformation that incorporates summed-area table filtering and off-the-shelf video codecs to enable foveated streaming of 360° videos suitable for VR headsets with built-in eye-tracking. To validate our approach, we build a client-server system prototype for streaming 360° videos which leverages parallel algorithms over real-time video transcoding. We conduct quantitative experiments on an existing 360° video dataset and observe that the log-rectilinear transformation paired with summed-area table filtering heavily reduces flickering compared to log-polar subsampling while also yielding an additional 10% reduction in bandwidth usage. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TVCG.2021.3067762 | IEEE Transactions on Visualization and Computer Graphics |
Keywords | DocType | Volume |
360 video,foveation,virtual reality,video streaming,log-rectilinear,summed-area table | Journal | 27 |
Issue | ISSN | Citations |
5 | 1077-2626 | 0 |
PageRank | References | Authors |
0.34 | 23 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| David Li | 1 | 147 | 17.08 |
| Ruofei Du | 2 | 4 | 5.30 |
| Adharsh Babu | 3 | 0 | 0.34 |
| Camelia D Brumar | 4 | 0 | 0.34 |
| Amitabh Varshney | 5 | 1704 | 172.25 |