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作 者:杜宸罡 李博[1] 画芊昊 DU Chengang;LI Bo;HUA Qianhao(Key Laboratory of Instrumental Science and Dynamic Testing,Ministry of Education,North University of China,Taiyuan 030051,China)
机构地区:[1]中北大学仪器科学与动态测试教育部重点实验室,太原030051
出 处:《计算机测量与控制》2024年第4期54-60,共7页Computer Measurement &Control
基 金:上海交通大学决策咨询课题(JCZXSJB2020)。
摘 要:随着信息化的发展,音视频流媒体技术应用面越来越广,为了使得音视频流媒体技术尤其是在直播方面拥有更好的性能,得到更多用户的好评,采用在原本HTTP的动态自适应流标准的视频流媒体架构下引入MPC控制算法并将MPC与码率自适应算法相结合的方法,进行对AAC优化、确定预测模型、测试音视频同步的影响因素以及PSNR-Y分量、测试切片时长与跳帧时延,计算最终的QoE用户评价指标来进一步检测音视频流媒体技术的优劣;经实验仿真测试可知,相比前人的相关算法,在不同直播场景下以及不同网络环境下均有更加良好的QoE值,平均QoE用户评价指标明显更高,为1 237.282 6;综上分析可知,MPC的音视频同步码率自适应算法各项性能最好。With the development of information technology,audio and video streaming technology is applied more and more widely.In order to achieve higher performance in audio and video streaming technology and receive more praise from users,especially in live broadcasting,the model predictive control(MPC)control algorithm is introduced under the original hyper text transfer protocol(HTTP)dynamic adaptive streaming standard video streaming media architecture,and the MPC is combined with the code rate adaptive algorithm to optimize the advanced audio coding(AAC),determine the predictive model,test the influencing factors of audio and video synchronization and the Y-component of peak signal to noise ratio(PSNR),and measure the duration and frame hopping delay of the slice.The final evaluation index from users in the quality of experience(QoE)is calculated to further detect the advantages and disadvantages of the audio and video streaming media technology.The experimental simulation results show that compared with previous relevant algorithms,the QoE values are better in different live broadcast scenarios and network environments,and the average evaluation index from users in the QoE is significantly higher,reaching 1237.2826.From the above analysis,the code rate adaptive algorithm of the MPC has the best performance.
关 键 词:音视频流媒体 HTTP协议 模型预测控制 码率自适应算法 音视频同步 QoE用户评价指标
分 类 号:TP309[自动化与计算机技术—计算机系统结构]
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