多缓存多媒体视频信息刷新频率控制仿真

Multi-Cache Multimedia Video Information Refresh Frequency Control Simulation

针对当前多媒体视频信息的刷新频率控制方法存在去噪能力差、控制精准度低和控制效率低的问题,提出多缓存多媒体视频信息刷新频率自动控制方法,采用奇异值分解方法将多媒体动画的一维信号变为二维信号,并完成信号分解,根据分解得到的奇异值重构信号,去除多媒体视频信息中存在的噪声信号。检测去噪后视频信息在缓冲区中的状态,根据检测结果建立动画刷新频率反馈控制模型,建立视频信息刷新频率控制模型,将蚂蚁算法和遗传算法相结合对控制模型求解,输出最优解,实现多缓存多媒体视频信息刷新频率的控制。仿真结果表明,所提方法的去噪能力高、控制精准度高、控制效率高。

Due to low ability of noise removal,low control accuracy and low control efficiency in the current method,this paper presented a method for automatically controlling the refresh frequency of multi-cache multimedia video information.Firstly,the singular value decomposition(SVD)method was used to transform the one-dimensional signal of multimedia animation into the two-dimensional signal,so that the signal decomposition was finished.According to the singular value obtained by the decomposition,the signal was reconstructed.Then,noise signals in multimedia video information were removed.Moreover,the state of video information in buffer area after noise reduction was detected.According to the result of detection,the feedback control model of animation refresh frequency was established and the model to control the video information refresh frequency was built.Finally,the ant algorithm was combined with genetic algorithm to solve the control model,so as to output the optimal solution.Thus,the refresh frequency of multi-cache multimedia video information could be controlled.Simulation results show that the proposed method has high de-noise capability,high control accuracy and high control efficiency.