A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2011; you can also visit the original URL.
The file type is application/pdf
.
Gradual Transition Detection Using Average Frame Similarity
2004 Conference on Computer Vision and Pattern Recognition Workshop
Segmenting digital video into its constituent basic semantic entities, or shots, is an important step for effective management and retrieval of video data. Recent automated techniques for detecting transitions between shots are highly effective on abrupt transitions. However, automated detection of gradual transitions, and the precise determination of the corresponding start and end frames, remains problematic. In this paper, we present a gradual transition detection approach based on average
doi:10.1109/cvpr.2004.357
dblp:conf/cvpr/VolkmerTW04a
fatcat:mecy25enpzgphklhgsabm3g6sm