一种新的镜头边界检测算法

Shot boundary detection algorithm based on co-histogram

提出基于联合直方图的镜头边界检测算法,利用相邻帧帧间联合直方图关于对角线的对称度在同一镜头内很高,而在镜头切换处很低的特性,定义相邻帧的相似度,通过对相似度做差分突出切变特征,同时引入有限自动机提高渐变检测的鲁棒性,并将切变和渐变检测紧密结合,获得了较好的检测效果.对多种类型的视频序列进行测试的实验结果表明,检测结果达到了95.6%的查全率和95.8%的查准率.

A new algorithm based on the co-histogram between two consecutive frames is presented. In the algorithm, the similarity is defined based on the co-histogram symmetry which is high in the same shot, but low in a shot transition. The similarity effectively reveals the transition characteristics. The difference of similarities is used to enhance the abrupt transition features, and a Finite-State Automata is used to improve the robustness in detecting gradual transition. Experiments testing various videos show that the algorithm achieves a performance with 95.6 % recall and 95.8 %precision.