Video Shot Boundary Detection - Comparison of Gist and Segmantation

Many algorithms have been proposed for detecting video shot boundaries and classifying shot and shot transition types. Here we are using two different methods for comparison, using GIST(Gesture Interpretation using Spatio-Temporal Analysis, where Spatio-Temporal means which has both space as well as time properties like the movement of hand which shows the variation in both space as well as time), Segmentation. The segmentation method uses a classifier trained for detecting these shots from a video while the GIST uses two different properties of the video i.e color and gist for the detection of the shots. The aim of this paper is to make a comparison between two of the well-known methods used for detecting video shot boundaries. Firstly various methods are described in the preceding sections then a comparison is made about it. This paper shows that the GIST method produces good result over the other method.