Video shot detection based on linear prediction of motion

This paper describes an approach for video shot detection. It relies on the temporal analysis of frame to frame optical flow measurements. These measures, which are motion wavelet coefficients directly estimated from the image sequence, exhibit discontinuities when shot boundaries occur. These transitions are detected by considering the temporal trajectories of the linear prediction errors of wavelet coefficients. Experimental results and performance evaluation using videos with reference segmentations are presented to demonstrate the efficiency of the approach.