Classification of Video Dynamic Texture Based on Lie-SVM

In order to more accurately measure the dynamic texture pattern of video clips, it is necessary to analyze the topological space of this pattern; to this end, we propose a method for classifying video clips based on dynamic texture features and a support vector machine (SVM) with a Lie group kernel. First, the autoregressive moving average model (ARMA) is established to describe the dynamic…