5G网络实时自适应360度视频流评估框架

Cise Midoglu, Özgü Alay, C. Griwodz
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引用次数: 8

摘要

实时360度视频的端到端分发需要以健康的方式进行评估,考虑从视频捕获到编码、传输和播放的所有方面,以及及时和适当的分析,重点是最终用户的体验质量(QoE)。这需要一个度量框架,它允许同时从多个维度收集度量。在这项工作中,我们提出了这样一个框架,用于评估实验性第五代(5G)网络上的实时自适应360度视频流,该框架允许调查端到端视频传输链的不同方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation Framework for Real-Time Adaptive 360-Degree Video Streaming over 5G Networks
The end-to-end distribution of real-time 360-degree video needs to be evaluated in a wholesome manner, considering all aspects from video capture to encoding, delivery, and playback, as well as timely and appropriate analytics, with a focus on end-user Quality of Experience (QoE). This requires a measurement framework which allows for the collection of metrics from multiple dimensions at the same time. In this work, we propose such a framework for evaluating real-time adaptive 360\degree video streaming over an experimental Fifth Generation (5G) network, which allows for the investigation of different aspects of the end-to-end video delivery chain.
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