Abstract

Video Shot Segmentation is the basic technique inPost Video Processing Application Software. Video Shot Segmentation divides a video into meaningful temporal segments called shots. A shot is composed of series of interrelated images continuously recorded without any interrupt by a single recording device. A video frame is the unique image in the shot.There are two shotboundarychange Abrupt and Gradual.The abrupt shot transition is called Cut and gradual shot transition includes dissolve, Fade,Wipe.Identifying the video frame at which shot changeoccurs is called Shot Boundary Identification. In this paper, a detailed study on Shot Boundary Segmentationmethods using conventional Machine learning Techniques and deep learning Techniques are studied.