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基于数据分析的网络视频传输与用户体验研究 被引量:1

Network Transmission Construction and User Experience Improvement in Live Broadcasting Platform Based on Data Analysis
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摘要 为提高网络直播视频的用户体验效果,本文运用贝叶斯判别和多项式回归等方法研究关键影响因素(初始缓冲时延和卡顿时长)与网络侧变量的关系。结果显示端到端环回时间越长,对初始缓冲峰值速率要求越高;播放阶段平均下载速率对单次卡顿时长的影响显著。由此对网络视频传输建设提出了改进意见。 In order to improve the user experience effect of network live video,this paper uses Bayesian discriminant and polynomial regression to study the relationship between the key factors(initial buffer delay and Carton time) and network side variables. The results show that the longer the end-to-end loop time and the higher the initial buffer peak rate is required,and the average download rate in the playback stage has a significant effect on the single-shot Katon time. Therefore,improvements are proposed for the construction of network video transmission.
作者 张雨琪 吴叶楠 何颖俞 ZHANG Yuqi;WU Yenan;HE Yingyu(Hangzhou Normal University Jing Hengyi Honors College,Hangzhou 310036,China;Hangzhou Normal University Science College,Hangzhou 310036,China)
出处 《现代信息科技》 2018年第12期49-53,共5页 Modern Information Technology
关键词 用户体验 网络侧变量 贝叶斯判别 多项式回归 user experience network side variables Bayesian discriminant polynomial regression
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