Name
Title | ||
|---|---|---|
Performance Evaluations of Tile-based 360-degree DASH Streaming with Clustering-based Viewport Prediction. |
Abstract | ||
|---|---|---|
Recently, the demand for immersive VR (360-degree) video delivery is increasing, and an efficient (high quality and low traffic) 360-degree video streaming methodology is mandatory. To address this fact, in this paper, we introduce a tile-based 360-degree DASH streaming with viewport prediction. We evaluate the prediction accuracy of future viewport movement patterns by using clustering and image and audio information. In addition, we perform rate adaptation based on viewport prediction results. Through evaluations, we confirm the tile-based 360-degree DASH streaming achieves higher objective image quality and lower total video traffic volume. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ICCE-TW46550.2019.8991815 | ICCE-TW |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuya Shinohara | 1 | 0 | 0.34 |
| Satomi Shirasaki | 2 | 0 | 0.34 |
| Yiyan Wu | 3 | 0 | 0.34 |
| Kenji Kanai | 4 | 24 | 18.26 |
| Jiro Katto | 5 | 262 | 66.14 |