基于非负张量分解的视频篡改检测方法  

Video tamper detection method based on nonnegative tensor factorization

作　　者：张雪莉[1,2] 黄添强[1,2] 林晶[3] 黄维[1,2] 

机构地区：[1]福建师范大学软件学院,福建福州350007 [2]福建省大数据挖掘与应用工程技术研究中心,福建福州350007 [3]福建师范大学数学与计算机科学学院,福建福州350007

出　　处：《网络与信息安全学报》2017年第6期42-49,共8页Chinese Journal of Network and Information Security

基　　金：国家自然科学基金资助项目(No.61070062;No.61502103);福建省高校产学合作科技重大基金资助项目(No.2015H6007);福州市科技计划基金资助项目(No.2014-G-76);福建省高等学校新世纪优秀人才支持基金资助项目(No.JAI1038);福建省科学厅K类基金资助项目(No.2011007);福建省教育厅A类基金资助项目(No.JA10064);福建师范大学研究生教育改革研究基金资助项目(No.MY201414)~~

摘　　要：鉴定视频的真实性和完整性是信息安全领域的重要内容之一,针对视频帧间篡改操作,提出一种基于非负张量分解的视频篡改检测方法。首先,对视频帧进行快速特征提取,利用主要压缩特征创建三维张量描述视频;然后,使用Tucker分解方法对张量进行非负分解,提取时间维因子矩阵进行相关性计算;最后,利用切比雪夫不等式自适应地定位篡改位置。实验证明,该方法能快速顽健地检测出视频帧间篡改操作。The authenticity and integrity of video authentication is one of the important contents in information security field. A video tampering detection method based on non-negative tensor decomposition was proposed for video inter-frame tampering. First of all, spectral feature of video frame was extracted quickly. The video was described by a three-dimensional tensor which created by the main compression feature. The tensor was factorized by Tucker non-negative decomposition method and then the time dimension matrix was extracted to calculate correlation. Finally, the tampering position was determined by using the Chebyshev＇s inequality. Experiments show that this method can detect the video inter-frame tampering quickly and robustly.

关 键 词：视频篡改检测 非负张量分解 Pearson相关系数 离散余弦变换 切比雪夫不等式 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]