Development of a Method to Predict Future of Movie by Combining Principle Component Analysis and Singular Spectrum Analysis

Abstract

Recently the video analysis technology has rapidly evolved. One of the most popular application of video is the surveillance camera. The aim of surveillance camera is evidence recording of crimes, however the prediction of video images of the surveillance camera may be effective for prevention of crime. In this research, the future prediction method for video data was developed. A video data is combination of time-series of still images. A video data was variable separated to time-varying weight functions and principal images by the Principal Component Analysis (PCA). The future of the weight functions were predicted by the Singular Spectrum Analysis (SSA) and were recombined with the principal images to generate the future of movie.