中文摘要：

摘要：场景中摄像机移动、对象运动、光亮突变等现象的存在导致现有镜头边界检测算法的顽健性不是，为了有效应对这些变化，提出一种基于ORB的镜头边界检测算法，算法通过计算图像帧之间ORB描述了的匹配程度进行镜头边界检测。在检测过程中使用特征点匹配数和匹配率对镜头边界的特点进行描述，并以相似度曲线描述图像帧之间的关系。实验结果表明，该算法可以有效解决上述问题造成的镜头误检、漏检，同时处理速度也获得了明显提升。

英文摘要：

The existing algorithms of SBD show low robustness when there exist camera or object movements, light changes in the scene. An SBD algorithm based on ORB was proposed in order to effectively deal with these changes, in which shot boundary was located by computing the matching degree of ORB descriptor between adjacent images. In the detection process, the matching number and matching rate of the feature points were used to describe the characteristics of shot boundary, and the similarity degree curve was used to represent the relationship between image frames. Experi- ment results show that the proposed algorithm is effective to solve false and miss detection caused by the above problems, with a sharp rise in procession speed.