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Advancing User Quality of Experience in 360-degree Video Streaming
| Content Provider | Semantic Scholar |
|---|---|
| Author | Park, Sohee Bhattacharya, Arani Yang, Zhibo Dasari, Mallesham Das, Samir Ranjan Samaras, D. |
| Copyright Year | 2019 |
| Abstract | Conventional streaming solutions for streaming 360-degree panoramic videos are inefficient in that they download the entire 360-degree panoramic scene, while the user views only a small sub-part of the scene called the viewport. This can waste over 80% of the network bandwidth. We develop a comprehensive approach called Mosaic that combines a powerful neural network-based viewport prediction with a rate control mechanism that assigns rates to different tiles in the 360-degree frame such that the video quality of experience is optimized subject to a given network capacity. We model the optimization as a multi-choice knapsack problem and solve it using a greedy approach. We also develop an end-to-end testbed using standards-compliant components and provide a comprehensive performance evaluation of Mosaic along with four other streaming techniques - two for conventional adaptive video streaming and two for 360-degree tile-based video streaming. Mosaic outperforms the best of the competition by as much as 50% in terms of median video quality. |
| Starting Page | 1 |
| Ending Page | 9 |
| Page Count | 9 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://www3.cs.stonybrook.edu/~zhibyang/papers/360_video_IFIP.pdf |
| Alternate Webpage(s) | https://www3.cs.stonybrook.edu/~arbhattachar/assets/pdf/ifip19.pdf |
| Alternate Webpage(s) | http://www.wings.cs.sunysb.edu/pdfs/2019-sohee-ifip.pdf |
| Alternate Webpage(s) | https://www3.cs.stonybrook.edu/~mdasari/assets/pdf/ifip19.pdf |
| Alternate Webpage(s) | http://dl.ifip.org/db/conf/networking/networking2019/1570512119.pdf |
| Alternate Webpage(s) | https://doi.org/10.23919/IFIPNetworking.2019.8816847 |
| Journal | 2019 IFIP Networking Conference (IFIP Networking) |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |