基于模式模板的MPEG压缩视频序列的划变转换检测

为了在进行视频分段时，对一些复杂的和奇异的Wipe转换模式进行检测，得出了一种基于模式模板的MPEG压缩视频序列的划变转换检测方法。该方法是在刻画划变转换时，用一种视频帧间图象特征变化信息的模式模板；并用一个基于该模式模板的算法，来检测包括各种奇异转换在内的划变转换，同时为了消除运动干扰，还引入了Hough变换。实验结果显示，该方法能精确检测划变转换区的位置和识别相应的转换模式，另外，无论是已存在的或将来出现的划变转换模式，该算法都同样适用。

Wipe Scene Change Detection in MPEG Video Sequences Based on Pattern Templates

The detection of transitions between shots in video programs is an important first step in analyzing video content. The wipe is a frequently used transitional form between shots. Wipe detection is more involved than the detection of abrupt and other gradual transitions because a wipe may take various patterns. This paper presents a new method for detecting wipe transition region and identifying wipe pattern based on pattern templates. In the proposed method, the dynamic pattern template(DPT) that stores the variance of the video frames in the wipe region is designed. Here, a special wipe video that only include black and white pixels are used to form the DPT. The DPT commonly has N frames. If the DPT satisfy the limit of one time scan, it can be simplifed to one frame. Then we give an algorithm based on DPTs to detect wipe region and identify wipe pattern. Here, only I and P frames are extracted from the MPEG stream for computing the wipe strip of two frames. Finally, to eliminate the disturbance of motion, Hough transform is used. Results show that the method can accurately detect wipe transition region and identify wipe pattern. Above all, the method is capable of satisfying the future wipe patterns.