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DOI:
计算机系统应用英文版:2013,22(9):102-110
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同源视频Copy-Move篡改检测及恢复
(1.福建师范大学 数学与计算机科学学院, 福州 350007;2.福建师范大学 网络安全与密码技术福建省高校重点实验室, 福州 350007;3.北京师范大学-香港浸会大学联合国际学院 理工科技学部, 珠海 519085)
Detection and Recovery for Copy-Move Forgery in Homologous Video
(1.School of Mathematics and Computer Science, Fujian Normal University, Fuzhou 350007, China;2.Key Laboratory of Network Security and Cryptography, Fujian Normal University, Fuzhou 350007, China;3.Department of Computer Science and Technology, BUN-HKBU United International College, Zhuhai 519085, China)
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Received:January 28, 2013    Revised:February 28, 2013
中文摘要: 针对同源视频序列的copy-move篡改方式, 提出一种通过度量图像内容间的相关性, 来实现对视频序列的copy-move篡改检测并恢复的方法. 首先将视频帧内容转化为一系列连续的图像帧, 对图像分块, 提取每帧图像的8个特征矢量, 再利用欧氏距离计算帧间相关性, 并通过添加偏差矩阵构造动态偏差阈值, 检测出copy-move篡改序列且精确至帧, 从而实现对视频序列的篡改检测与恢复. 实验表明, 该算法对同源视频序列的copy-move篡改检测及恢复能够取得理想的效果.
Abstract:With regard to the copy-move forgery of video frame sequence, this paper proposes a algorithm for video detection and recovery base on the correlation of the contents between frames. Firstly, the video frames are translated into a series of consecutive image frames, and by blocking the frame to extract eight dimensional feature vectors. With Euclidean distance computed the correlation between frames, a deviation matrix is import in the algorithm to reduce the false alarm rate. A threshold value is used to localize the modifications to a frame level and recover the original video. Experimental results show that this method can effectively detect the copy-move forgery of video frame sequence and video restoration.
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基金项目:国家自然科学基金(61070062);福建省高校产学合作科技重大项目(2012H6006);福建省高校服务海西建设重点项目(2008HX200941-4-5); 福建省高等学校新世纪优秀人才支持计划(JAI1038)
引用文本:
陈智文,黄添强,吴铁浩,袁秀娟,苏伟峰.同源视频Copy-Move篡改检测及恢复.计算机系统应用,2013,22(9):102-110
CHEN Zhi-Wen,HUANG Tian-Qiang,WU Tie-Hao,YUAN Xiu-Juan,SU Wei-Feng.Detection and Recovery for Copy-Move Forgery in Homologous Video.COMPUTER SYSTEMS APPLICATIONS,2013,22(9):102-110