摘要
针对视频拷贝检测中检测准确率低和误码率高的问题,提出结合时空域特征的多特征视频拷贝检测算法.该算法结合视频帧最大似然比和SURF描述子构成视频特征,较好地对抗各种视频变换,采用基于Kd树的特征匹配算法提高视频检测效率.实验表明该算法能有效提高拷贝检测的速度和准确度.
To solve the problem of low detection accuracy and high bit error rate in video copy detection,a video copy detection algorithm based on spatiotemporal features is proposed in this paper.The algorithm combines video frame maximum likelihood ratio and SURF descriptors to constitute video features to deal with a variety of video transformations,feature matching algorithm based on Kd tree is adopted to improved detection efficiency of video detection.Experimental results show that the proposed algorithm can improve the accuracy and speed of video copy detection.
作者
侯艳艳
李庆华
王秀贞
张宇
Hou Yanyan Li Qinghua Wang Xiuzhen Zhang Yu(College of Information Science and Engineering, Zaozhuang University, Zaozhuang 277160, China College of Electrical Information and Control Engineering, Qilu University of Technology, Jinan 250353, China China Mobile Group Shandong Company Limited Zaozhuang Branch, Zaozhuang 277160, China)
出处
《宁夏大学学报（自然科学版）》
CAS
2017年第1期33-37,共5页
Journal of Ningxia University(Natural Science Edition)
基金
国家自然科学基金资助项目(41204025)
关键词
最大似然比
Kd树算法
马氏距离
maximum likelihood ratio
Kd tree algorithm
Mahalanobis distance
