A Novel Feature Based Adaptive Algorithm for Automatic Shot Boundary Detection

Abstract

The video shot boundary detection(SBD) is a region, where many practices and techniques have been suggested and have requested to perform consistently on the videos like talk shows , different sports events & news telecast. Large videos like movies have a large amount of visual material changing in random manner; it needs a highly dynamic technique for automatic shot boundary detection. The key goal of this research is to develop an adaptive & strong algorithm for segmentation & classification of movie videos. In this paper, we described a novel tactic for SBD. which is totally adaptive & changes the threshold value as per the information variation. We have definite the new feature which can uniquely define color as well as edge & frequency details of a frame. It is able to detect not only abrupt transitions like hard cuts but also special effects like wipes, fades, and dissolves as well in different videos like movies.