With the development of multimedia technology

the amount of multimedia video data is enlarged at an explosive speed. As video data isn't structural

we have to detach it in order to index and browse video. It is a good method to use shots as the basic units. The analysis of character of shots sequence. It is not a good method using common threshold based because of the variety content of video and the different shot transition type. A novel wavelet based shot boundary detection approach is proposed to overcome these difficulties

it regards the shot change detection as the singularity position detection of frame frame difference function. This makes the selection of threshold easier and gets a good performance. Selecting a video segment and picking up frame to frame difference curve is the first step. in order to improve the speed of the segmentation

an intensity histogram based content description scheme is adopted

the description is sufficient and efficient. The next step is to analyze frame to frame difference function by wavelet transform. Then we filter the noise and find out the module max. Finally we can get the edge of shots accurately by tracking. It is a great method to detach video data adaptively and examine all kinds of shot edges.