文章基本信息

标题：Towards QoE-Driven Optimization of Multi-Dimensional Content Streaming
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作者：Yassin Alkhalili ; Jannis Weil ; anam tahir 等
期刊名称：Electronic Communications of the EASST
电子版ISSN：1863-2122
出版年度：2021
卷号：80
DOI：10.14279/tuj.eceasst.80.1167
语种：English
出版社：European Association of Software Science and Technology (EASST)
摘要：Whereas adaptive video streaming for 2D video is well established and frequently used in streaming services, adaptation for emerging higher-dimensional content, such as point clouds, is still a research issue. Moreover, how to optimize resource usage in streaming services that support multiple content types of different dimensions and levels of interactivity has so far not been sufficiently studied. Learning-based approaches aim to optimize the streaming experience according to user needs. They predict quality metrics and try to find system parameters maximizing them given the current network conditions. With this paper, we show how to approach content and network adaption driven by Quality of Experience (QoE) for multi-dimensional content. We describe components required to create a system adapting multiple streams of different content types simultaneously, identify research gaps and propose potential next steps.
关键词：Multimedia Streaming;In-Network Processing;Reinforcement Learning;Quality of Experience