Detection of wipes and digital video effects based on a pattern-independent model of image boundary line characteristics

This paper proposes detection of wipes and digital video effects (DVEs) in a video sequence based on a new pattern-independent model. This model is based on the characteristics of image boundary lines dividing the two image regions in the transitional frames. Wipes and DVEs are modeled as frame sequences where either (A) a single boundary line moves continuously in a time sequence, or (13) multiple boundary lines form a quadrilateral within a frame. The model is applied to the image boundary lines extracted from a video sequence to detect wipes and DVEs. An evaluation using news programs containing various patterns of wipes and DVEs shows that the proposed method achieves recall of 91.5% and precision of 60.7%, improving the conventional twin-comparison method by 29.6% in recall and 46.5% in precision.