HTTP/2-Based Streaming Solutions for Tiled Omnidirectional Videos

Mariem Ben Yahia, Yannick Le Louédec, G. Simon, L. Nuaymi
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引用次数: 9

Abstract

360° video streaming is coming up against two major technical challenges: network resource consumption and Quality of Experience (QoE). Dynamically adapting the content delivery process to the user behavior is a promising approach to ensure both important network resource savings and satisfying experiences. In this paper, we propose to leverage HTTP Adaptive Streaming (HAS), tiled-based 360° video encoding and the HTTP/2 protocol to implement this dynamic content delivery process. The 360° video stream is spatially encoded into tiles and temporally divided into segments. The client executes two viewport predictions for each segment, one before and one during its delivery. Upon every prediction, it decides on a priority and a quality level for each tile of the video segment; tiles overlapping with the predicted viewport get higher priorities and quality levels. Then it exploits the priority and stream termination features of the HTTP/2 protocol to enforce its decisions. We compare our proposed solution with four alternative schemes on a set of 360° video streaming sessions corresponding to various types of videos, user behaviors and network conditions. Our solution provides better performances: a higher quality on the viewport pixels, a lower ratio of unreceived viewport pixels in bandwidth-constrained networks, and a reduction of the bandwidth consumption, up to 12% compared to the alternative schemes exploiting 2 viewport predictions per video segment.
基于HTTP/2的平铺全方位视频流解决方案
360°视频流面临两大技术挑战:网络资源消耗和体验质量(QoE)。根据用户行为动态调整内容交付过程是一种很有前途的方法,可以确保重要的网络资源节约和令人满意的体验。在本文中,我们建议利用HTTP自适应流(HAS)、基于平铺的360°视频编码和HTTP/2协议来实现这种动态内容交付过程。360°视频流在空间上编码为块,并在时间上划分为段。客户端对每个片段执行两个视口预测,一个在交付之前,一个在交付期间。在每一个预测,它决定在优先级和质量水平的视频片段的每个瓷砖;与预测视口重叠的贴图具有更高的优先级和质量级别。然后,它利用HTTP/2协议的优先级和流终止特性来执行其决策。我们将我们提出的解决方案与四种替代方案进行比较,这些方案对应于各种类型的视频、用户行为和网络条件的一组360°视频流会话。我们的解决方案提供了更好的性能:更高的视口像素质量,在带宽受限的网络中未接收视口像素的比例更低,并且减少了带宽消耗,与每个视频片段利用2个视口预测的替代方案相比,带宽消耗减少了12%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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