Automatic Cut Detection Based Video Segmentation

Abstract

Due to the increasing demand of internet technology and availability of high performance computers the demand for video surfing, transmission and retrieval is increasing day by day. The automatic annotation is a process which helps the browser or the user to retrieve the exact video as well as the exact shots or content based frames from a video by saving time and resources. The first step towards the automatic annotation is the temporal video segmentation. A boundary between two groups of video is defined as cut. A cut has been declared between two consecutive image frames if the two frames are sufficiently dissimilar. In this paper a Peak Change Ratio based cut detection has been addressed to detect the cuts in a video. The performance of the proposed method is superior in terms of "R (Recall)", and "F1" measure in comparison to the existing histogram based cut detection and Gargi's RGB color model based cut detection.