Robust gradual scene change detection

Content-based temporal sampling of video is an efficient method for representing the visual information contained in the video sequence by using only a small subset of the video frames, which can be detected by a scene change detection method. Scene changes include not only the abrupt transitions, but also gradual transitions such as fade, dissolve. Robust detection of gradual transitions has been considered to be difficult. A high-performance gradual scene change detection method is presented in this paper. The proposed method is based on the video edit model. It can be derived that, for dissolve transition without violent motions, the variance, gradient magnitude and double chromatic difference (DCD) of image sequence during dissolve will show parabolic shapes. These features can be used for robust detection of dissolve transition. We approve that in term of recall rate the variance and gradient magnitude have the same efficiency. So, we simply use variance sequence to select possible positions of dissolve transitions and then DCD is used for further confirmation