Abstract: An approach of shot-boundary detection by fusing feature is proposed.HSV histogram is a common and effective method for shot boundary detection.In this paper，discontinuous frame is obtained based on HSV histogram，edge orientation histograms and texture feature firstly.Then the Kohonen self-organized network is used to receive the shot boundary by clustering the discontinuous frame.The results of experiments show that this proposed approach can detect shot effectively and doesn’t need threshold.

Key words: feature fusion, shot boundary detection, self-organized network, HSV histogram

摘要： 提出了一种特征融合的镜头边界检测方法。HSV色彩直方图进行镜头边界检测是一种常用、有效的方法，该文融合了视频帧的HSV直方图特征、边缘特征和纹理特征，计算出不连续帧。最后，采用Kohonen网络自组织网络对不连续帧值进行聚类得到镜头边界。实验结果表明该方法不仅是可行和有效的，也解决了需要阈值的问题。

关键词: 特征融合, 镜头边界检测, 自组织网络, 色彩直方图