中文摘要：

针对现有的视频复制检测方法中存在的计算量大、鲁棒性差等问题,提出了一种新的视频复制检测算法.算法采用视频时序特征曲线来描述视频内容,将每帧图像基于信息熵自动分割成若干个子块,提取各个子块的时序特征曲线作为表征视频内容的特征值.在相似性匹配时,采用鲁棒性的相似性匹配算法,实验结果证明了算法的有效性和鲁棒性.

英文摘要：

To solve the problems of high computation and low robustness that exist in present video copy detection methods,a new video copy detection method is proposed.This algorithm uses spatio-temporal feature curves of the video to describe the video content.Each frame in the video is divided into several blocks according to the entropy in it and each block＇s spatio-temporal feature curves are extracted to serve as descriptors of its content.A robust matching method is adopted to match the two videos＇ feature curves.The experiments show the effectiveness and robustness of the algorithm.