基于HTTP/2的低延迟360度VR视频流的自适应方法

Dang-Hieu Nguyen, Minh Nguyen, N. P. Ngoc, T. Thang
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引用次数: 7

摘要

与传统的多媒体应用相比,虚拟现实(VR)技术,特别是360度VR视频,由于其沉浸式体验而成为当前的热门话题,例如允许用户通过全景视图体验近距离的真实生活。然而,360度VR视频传输需要消耗巨大的带宽。此外,如何降低360度VR视频流的延迟是另一个问题。为了解决这两个挑战,在本文中,我们介绍了一种基于HTTP/2的高效自适应360 VR视频流方法,该方法使用流优先级和流终止特性。为了支持自适应,360度VR视频被分成多个人脸,每个人脸被分成时间段。视频也以不同的质量水平存储在服务器上。在我们的方法中,我们专注于低延迟场景,因此通过使用HTTP/2的优先级特性同时下载所有面孔,客户端基于图像组(GOP)对其进行解码。如果带宽突然下降,客户端将打破同时性,并通知服务器根据其优先级连续推送面部。此外,可以使用流终止功能来终止错过截止日期的媒体部分。实验结果表明,当初始缓冲时间设置为0.5s时,本文方法中错过截止期的正面GOPs数仅为0.08%,而两种参考方法的截止期分别为0.75%和3.34%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An adaptive method for low-delay 360 VR video streaming over HTTP/2
Virtually Reality (VR) technology, especially 360 VR videos, is currently a hot topic thanks to its immersive experience, compared to traditional multimedia applications, such as allowing users to experience a close real life by panoramic view. Nevertheless, 360 VR video transmission consumes a huge bandwidth. Besides, how to reduce the delay of 360 VR video streaming is another problem. To address these two challenges, in this paper, we introduce an efficient adaptive 360 VR video streaming method over HTTP/2 using stream priority and stream termination features. To support adaptivity, a 360 VR video is divided into multiple faces and each face is chunked into temporal segments. The video is also stored at the server with different levels of quality. In our method, we focus on the low delay scenario and thus all faces are downloaded simultaneously by using priority feature of HTTP/2 and the client decodes them based on the Group of Pictures (GOP). If the bandwidth suddenly drops, the client will break the simultaneity and inform the server to push consecutively the faces based on their priorities. In addition, stream termination feature can be used to terminate the media parts, which will miss the deadline. The experimental results show that, when the initial buffer is set to 0.5s, there is only 0.08% of the number of GOPs in the front face that miss the deadline in our proposed method, compared to the values of 0.75% and 3.34% of two reference methods.
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