Abstract
When traditional multimedia network video image is compressed and transmitted to compensate, because of the different loss of video image features in the acquisition process, the error of compressed transmission compensation is large and the efficiency is low. Firstly, the NLMS algorithm and the improved NLMS algorithm are analyzed. To solve the problem that the compensation factor in the algorithm is too large due to the severe network shake, the NLMS algorithm is further improved by adaptively adjusting the compensation factor coefficient with the change of the network and the prediction error. The research shows that the multimedia playback mode and the image optimization system software structure based on the compensation factor adaptive model realize the dynamic adaptation of the system to various network conditions and the image optimization function during video playback by adopting the bandwidth adaptive strategy and method.. The conclusion shows that in the multimedia network video image compression transmission, the improved compensation method has higher performance in multimedia network video image optimization and real-time compression transmission compensation, which has certain advantages compared with the traditional compensation method.
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