基于自适应双阈值和主色率的足球视频镜头的分割

Soccer Video Shot Segmentation Based on Self-adapting Dual Threshold and Dominant Color Percentage

为了有效地实现对足球视频镜头边界检测,该文提出了一种基于自适应双阈值并结合主色率的镜头分割算法。该算法首先采用滑动窗口,基于颜色直方图的分布得到局部自适应的双阈值,然后在HSV颜色空间中提取当前帧图像的主色,并基于圆柱距离求出主色像素点,接着在此基础上获取该帧的主色率,最后用双阈值结合主色率对足球视频镜头分割。实验结果证明:该方法对足球视频能较好地实现突变和渐变检测,为基于语义的足球视频的检索奠定了很好的结构化基础。

To efficiently detect shots for soccer video, dapting dual threshlod and dominant color percentage a shot segmentation algorithm based on self-a- is presented here. In the algorithm, a sliding window is used and two local self-adapting thresholds are obtained on the base of color histogram, and the dominant color of the frame is computed in the HSV color space. Based on the cylinder distance, the dominant color pixels are achieved and the dominant color percentage of the frame is obtained. With the combination of dual threshold and dominant color percentage, the soccer video＇s shots are detected. The experimental results prove that this algorithm can detect cuts and gradual transitions efficiently and make a good structurization base for semantic-based soccer video retrieval.