With the development of information technology,audio and video streaming technology is applied more and more wide-ly.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 adap-tive 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 previ-ous relevant algorithms,the QoE values are better in different live broadcast scenarios and network environments,and the average e-valuation index from users in the QoE is significantly higher,reaching 1 237.282 6.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
Key words
audio and video streaming media/HTTP protocol/MPC/code rate adaptive algorithm/audio and video synchroniza-tion/QoE user evaluation indicators
维普
万方数据