A Rapid and Effective Method for Shot Boundary Detection

A rapid and effective shot boundary detection algorithm is proposed.First,the video sequence is mapped into a temporal evolution curve(TEC) by using the L_2-norm of HS histogram.Then singularity detection with wavelet is employed to identify the potential shot boundaries in TEC curve.Next then,we utilize intensity of motion intensity and block-based edge direction histogram to distinguish shot boundaries from the false positives caused by rapid motion and complex flashlight scenes.At last,gradual transition is further classified into dissolve,wipe and fade in/fade out.The experimental results compared with other methods achieve satisfying precision and recall of detecting shot boundaries in this algorithm.