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摘要:
Apart from video rate (or requested bitrate), Mean Opinion Score (MOS) has increasingly become a primary term representing Quality of Experience (QoE) in HTTP adaptive streaming (HAS). By monitoring this metric, QoE management can effectively maximize QoE for the users. However, due to various behaviors of particular commercial HAS players, deciding an appropriate monitoring interval has not been fully investigated yet. In this paper, an optimal interval is proposed to be equal to duration of a video chunk in order to aid service managers in early detecting QoE deterioration and limiting the probability of video rate deterioration. The optimal monitoring interval is evaluated by comparing with other values of interval in terms of ratio of video rate deterioration. Furthermore, MOS-based QoE monitoring method which takes into account the proposed interval is thus compared with video rate based monitoring method. The results show that with optimal interval, MOS monitoring guarantees a low ratio of video rate deterioration (around 10% for buffering state and 40% for steady state) and small average CPU Load (about 11.45%).
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篇名 Early Detection of QoE Deterioration in HTTP Adaptive Streaming
来源期刊 电脑和通信(英文) 学科 医学
关键词 QOE MOS QoS VIDEO Rate Detection Time OPTIMAL Monitoring INTERVAL
年,卷(期) dnhtxyw_2017,(14) 所属期刊栏目
研究方向 页码范围 14-27
页数 14页 分类号 R73
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研究主题发展历程
节点文献
QOE
MOS
QoS
VIDEO
Rate
Detection
Time
OPTIMAL
Monitoring
INTERVAL
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研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
电脑和通信(英文)
月刊
2327-5219
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
783
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0
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