An Effective Video Shot Boundary Detection Method Based on the Local Color Features of Interest Points

Video shot boundary detection is an important early stage of video analysis. In this paper, a new method for shot boundary detection using local color features (LCF) is presented. Firstly, interest points are detected for each frame. Then, local images are obtained based on the interest points. Finally, shot boundaries are detected based on the histogram difference of local images. LCF can overcome the deficiency of traditional histogram-based method that different contents frames have similar histograms, and can distinguish between gradual changes and camera motions effectively. Experimental results successfully validate the new method and show that it can effectively detect both abrupt transitions and gradual transitions.