REVIEW OF PURPOSED METHOD FOR KEY FRAME EXTRACTION FROM VIDEOS

Abstract

In recent days, vision based surveillance in public spaces has dramatically increased due to its wide applications such as traffic system management, terrorism/crime deterrence, and crowded activity monitoring and so on. These surveillance videos often contain a large amount of frames. Taking an example of a frame of 25fps, there are 250*3600=90,000 frames in total for one hour of video. The huge volume of video data is a barrier to many practical usages. So, work on key frame extraction going on to extract key frames from videos which give an overall summarization of a video.