earticle

영어

This paper focuses on the problem that video-GIS has a huge amount of data, which leads to high transmission resource consumption, and introduced attention calculation model to video GIS coding to optimize the coding method so the compression efficiency will be improved as well. Specifically, on the one hand, it will use optical flow technique to calculate the specific location and motion vector of the movement point set of each frame, and reduce the amount of the movement point set integrate with the features of video GIS, then calculate the mask matrix of the foreground movement, and finally compute the Discrete Cosine Transform (DCT) compression integrate with the mask matrix to realize the optimization of the frame macro block level coding. On the other hand, it will calculate the attention of the video frame using the specific location and the motion vector of the movement point set as the primary indicator, and optimize the coding of the video of frame-level according to the calculation result. By experimental verification, the efficiency of video GIS compression is enhanced by the introduction of the features of the video GIS and the cognitive attention theory