Code Rate Adaptive Test of Audio and Video Synchronization Based on MPC
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.
audio and video streaming mediaHTTP protocolMPCcode rate adaptive algorithmaudio and video synchroniza-tionQoE user evaluation indicators
万方数据
维普
