基于MPC的音视频同步码率自适应测试

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模型预测控制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1237.2826。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。

Bitrate 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 widely. In order to make audio and video streaming technology, especially in live broadcasting, have better performance and get more users'' praise, The MPC control algorithm is introduced under the original HTTP dynamic adaptive streaming standard video streaming media architecture, and the MPC model predictive control is combined with the bit-rate adaptive algorithm to optimize AAC, determine the predictive model, test the influencing factors of audio and video synchronization, PSNR-Y component, test slice duration and frame hopping delay. The final QoE user evaluation index is calculated to further detect the advantages and disadvantages of audio and video streaming media technology. The experimental simulation test shows that compared with previous relevant algorithms, QoE values are better in different live broadcast scenarios and different network environments, and the average QoE user evaluation index is significantly higher, reaching 1237.2826. From the above analysis, it can be seen that MPC''s bit-rate adaptive algorithm has the best performance.