Application of Artificial Neural Network in Video Compression Coding

The goal of video compression is to reduce video data rate on the premise of visual effect as much as possible. During the compression of image, to get a high compressed ratio,people always only get a degraded image. This article aims to estimate the degraded model of the video compresed image through using the neural network and H.264 rate-distortion model.we can improve the quality of the compressed image, using neural network´s predictive ability strongly and high fault-tolerance, improving the quantization parameter prediction in the video encoding, completing video image reconstruction. The experiments show that the neural network can improve the image quality of video compressed image greatly.