Comparative analysis of shot boundary detection algorithms for video summarization

Video summarization is very effective process in order to extract the essential and necessary information from huge videos and convert them into summarized videos. In this paper, we study and evaluate the comparative analysis of shot boundary detection algorithms of video summarization. The histogram based and edge based algorithms already exists are studied and compared with the new proposed improved histogram algorithm. The experimental evaluation validates the proposed approach returning most representative keyframes. The graphical representation of keyframes through above mentioned algorithms makes it clearer that new proposed algorithm delivers better and respectable results.