摘要
针对视频初始缓冲队列长度难以准确测量的问题,对非加密的优酷和加密的YouTube两类视频平台进行研究,提出了视频初始缓冲队列长度测量方法。通过识别分析视频流量特征,关联流量行为与播放状态,构建视频指纹库,实现了队列长度的准确测量。实验结果表明,两类视频平台的测量结果均能够精确到帧,完全满足准确评估视频体验质量的需要。
To resolve the difficulty in accurately measure the length of video initial buffering queue,two video platforms, non-encrypted Youku and encrypted YouTube,were selected to research,and the video initial buffer queue length measurement method was proposed.By identifying and analyzing the characteristics of video traffic,correlating the traffic behavior with the playing state,constructing video fingerprint database,accurate measurement of queue length was realized. The experimental results show that the measurement results of the two types could be accurate to the frame,fully meeting the need to accurately evaluate the quality of the video experience.
作者
程光
房敏
吴桦
CHENG Guang;FANG Min;WU Hua(School of Cyber Science and Engineering,Southeast University,Nanjing 211189,China;Key Laboratory of Computer Network and Information Integration of Ministry of Education of China,Southeast University,Nanjing 211189,China;School of Computer Science and Engineering,Southeast University,Nanjing 211189,China)
出处
《通信学报》
EI
CSCD
北大核心
2019年第10期67-78,共12页
Journal on Communications
基金
江苏省研究生科研与实践创新计划基金资助项目(No.SJCX17_0021)
国家重点研发计划基金资助项目(No.2017YFB0801703)
国家自然科学基金资助项目(No.61602114,No.61872080,No.61502098)
江苏省自然科学基金资助项目(No.BK20151416)
赛尔网络下一代互联网技术创新基金资助项目(No.NGII20170406)~~
