Predictive Tile Selection for 360-Degree VR Video Streaming in Bandwidth-Limited Networks
Predictive Tile Selection for 360-Degree VR Video Streaming in Bandwidth-Limited Networks
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DOI：
10.1109/lcomm.2018.2848915
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发表时间：
2018-09-01
期刊：
影响因子：
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通讯作者：
Yun, Ji-Hoon
中科院分区：
文献类型：
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作者：
Thanh Cong Nguyen;Yun, Ji-Hoon
为了有效地向虚拟现实用户传输360度视频带宽，只能传输与用户当前视口相对应的视频空间磁贴的子集，但磁贴的选择是具有挑战性的，因为用户的视口会随着时间的推移而不断移动。在这封信中，我们发现注视点预测的误差分布形式为正态分布。基于这一理论发现，在给定的置信水平下，以封闭形式获得用户未来视口可能所在的区域，并提出算法选择覆盖该区域的贴片。
To stream 360-degree video bandwidth-efficiently to virtual reality users, only a subset of' a video's spatial tiles corresponding to the current viewport of a user can be transferred, but tile selection is challenging since a user's viewport keeps moving over time. In this letter, we find that the error distribution of fixation point prediction is formally derived as a normal distribution. Based on this theoretical finding, the region where a user's future viewport is likely to reside with a given confidence level is obtained in a closed form and the proposed algorithm selects tiles covering the region.