基于NMF和SURF的视频帧间复制粘贴伪造盲检测  

Interframe Copy-Paste Forgery Blind Detection Based on NMF and SURF

作　　者：李晓丽 杜振龙 

机构地区：[1]南京工业大学计算机科学与技术学院,南京211816

出　　处：《数据采集与处理》2017年第4期713-720,共8页Journal of Data Acquisition and Processing

基　　金：国家自然科学基金(61073098)资助项目;教育部高等学校博士点基金(2011322112003)资助项目;江苏省"六大人才"高峰基金(2012-WLW-023)资助项目

摘　　要：针对视频帧间复制粘贴伪造,本文提出一种基于非负矩阵分解(Nonnegative matrix factorization,NMF)和加速稳健特征(Speed-up robust features,SURF)的帧间复制粘贴伪造盲检测算法。通过对视频帧进行小波变换,提取低频系数矩阵进行非负矩阵分解,将得到的系数矩阵作为视频帧的特征表示衡量帧间的相似性,根据相似度变化趋势判断视频帧间的连续性,从而确定疑似伪造复制粘贴序列的首帧及尾帧,并通过SURF特征匹配进行二次判定。实验结果表明,本文所提出帧间伪造检测算法对连续多帧的复制粘贴伪造具有较好的检测效果,避免了逐帧比对,降低了时间复杂度。Interframe and intraframe copy-paste forgery are two typical video forgery means. Interframe manipulation is easily done with the video editing software. An algorithm based on nonnegative matrix factorization（NMF） and speed-up robust featuare（SURF） is proposed for detecting interfrarne copy-paste forgery. Frames are transformed via wavelet. And low-frequency band is further decomposed by NMF. The NMF coefficient matrix is served as the video frame feature descriptor. The variation of frame simi- larity is used for locating the forged first and last frames via measuring frame similarity. The starting and ending frames mark the suspicious frame sequence, and these frames are further investigated by SURF. The presented approach avoids flame-by-frame match and decreases the time complexity to O（n）. The experiment demostrates that the proposed algorithm performs well for interframe video copy-paste for- gery detection.

关 键 词：非负矩阵分解 SURF 帧间复制粘贴 视频伪造 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]