Omnidirectional video is becoming increasingly popular among viewers, but its delivery requires considerable amount of network bandwidth. Today’s streaming services are transmitting the full spatial angle of omnidirectional videos, although most of the transmitted content is not utilized. Due to both limited bandwidth availability and its dynamic fluctuations, adaptive delivery solutions play a key role in supporting high user quality streaming of omnidirectional videos. This paper describes research which extends the MPEG-DASH Spatial Relationship Description by adding scalable video encoding to spatial tiling. It proposes a novel tile-layering based gaze adaptation algorithm for omnidirectional video delivery and employs it in conjunction with multiple tiling schemes. The benefits of the proposed algorithm with diverse tiling schemes are evaluated objectively in terms of bandwidth savings and adaptation latency. The results show a reduction of network bandwidth requirements to about 30% of the original bandwidth value with a low processing latency of 70.87ms.

中文翻译：

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使用空间平铺和可扩展视频编码的全向视频传输的用户注视驱动适应


全向视频在观众中越来越受欢迎，但其传输需要大量的网络带宽。当今的流媒体服务正在传输全向视频的整个空间角度，尽管大部分传输的内容并未得到利用。由于带宽可用性有限及其动态波动，自适应传输解决方案在支持高用户质量的全向视频流方面发挥着关键作用。本文介绍了通过向空间平铺添加可扩展视频编码来扩展 MPEG-DASH 空间关系描述的研究。它提出了一种新颖的基于平铺分层的注视适应算法，用于全向视频传输，并将其与多种平铺方案结合使用。在带宽节省和适应延迟方面客观地评估了所提出的具有不同切片方案的算法的优点。结果显示，网络带宽需求减少至原始带宽值的 30% 左右，处理延迟低至 70.87 毫秒。