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.