PERFORMANCE ANALYSIS OF VIDEO USING NEURAL NETWORK, SUPPORT VECTOR MACHINE AND DECISION TREE INDUCTION

Video provides better understanding and information about any scenario or event, so it is very important to analyze the features of video. The increase in the digital libraries provides the insufficient results to users.These days precise retrieval of information according to the user’s requirement is needed. In this paper video featurelike color detection, histogram matching and energy analysis are extracted and then analyzed by using various algorithms like neural network, decision tree induction and support vector machine. The comparative analysis of these algorithms based on accuracy and running timeis also discussed.