Automatic shot boundary detection using Gaussian Mixture Model

The basic step for video analysis is the detection of shots in a given video. A shot is sequence of frames captured in a single continuous action in time and space using a single camera. The boundary between two adjacent shots may be an abrupt change (hard cut) or gradual change. In literature, many shot boundary detection algorithms have been proposed for detecting the hard cut or gradual changes like fadein/out and dissolve. The performance of these algorithms degrades with zooming, lighting change conditions, and fast moving type of videos. In this paper, a novel algorithm based on Gaussian Mixture Model (GMM) is developed for shot boundary detection. The behavior of GMM with abrupt and gradual change is used for detection of hard cut, fadein/out and dissolve. Experimental results shows credibility of the proposed algorithm with zooming, lighting change conditions, and fast moving type of videos.