Study of User QoE Improvement for Dynamic Adaptive Streaming Over HTTP (MPEG-DASH)

被引:0
|
作者
Zhao, Shuai [1 ]
Li, Zhu [1 ]
Medhi, Deep [1 ]
Lai, PoLin [2 ]
Liu, Shan [2 ]
机构
[1] Univ Missouri, Comp Sci & Elect Engn Dept, Kansas City, MO 64110 USA
[2] MediaTek USA Inc, San Jose, CA USA
关键词
QoE; Adaptive Algorithm; DASH; ExoPlayer;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Video streaming over HTTP is becoming the de facto dominating paradigm for today's video applications. HTTP as an over-the-top (OTT) protocol has been leveraged for quality video traversal over the Internet. High user-received quality-of-experience (QoE) is driven not only by the new technology, but also by a wide range of user demands. Given the limitation of a traditional TCP/IP network for supporting video transmission, the typical on-off transfer pattern is inevitable. Dynamic adaptive streaming over HTTP (DASH) establishes a simple architecture and enables new video applications to fully utilize the exiting physical network infrastructure. By deploying robust adaptive algorithms at the client side, DASH can provide a smooth streaming experience. We propose a dynamic adaptive algorithm in order to keep a high QoE for the average user's experience. We formulated our QoE optimization in a set of key factors. The results obtained by our empirical network traces show that our approach not only achieves a high average QoE but it also works stably under different network conditions.
引用
收藏
页码:566 / 570
页数:5
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