期刊文献+

基于预测残差检测的数字视频篡改鉴定 被引量:11

Digital Video Forgeries Detection Based On Prediction Error
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摘要 论文主要研究了在没有数字水印和数字签名的情况下,依据数字视频文件本身的特性对其真实性做出鉴定。同时,针对一种常用的视频文件编码格式——MPEG进行分析和研究,利用预测残差在篡改后会周期性出现显著变化的特征,可以检测出视频文件是否经过了删除或插入某几帧的篡改操作,从而为司法鉴定提供判断的依据。 In this paper the technique for detecting traces of tampering in digital video is studied under with no digital watermark or signature embedded in. In the lignt of the characteristics of the video itself, the widely used MPEG video sequence is specifically analyzed the find periodic perturbations of the tampered prediction error is identified. The presence of periodic perturbations can be used as an evidence of insertion or deletion tampering.
出处 《信息安全与通信保密》 2008年第12期128-130,共3页 Information Security and Communications Privacy
基金 上海市科委"声像鉴定关键技术研究"课题资助(课题编号:052112035)
关键词 视频篡改 司法鉴定 预测残差检测 Digital Video Forgery Judicial Authentication Prediction Error Detection
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参考文献4

  • 1[1]张益贞,刘涛.Visual C++实现MPEG/JPEG编码解码技术[M].北京:人民邮电出版社,2003:174-246.
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同被引文献80

  • 1贾克斌,谢晶,方晟.一种基于自相关法的H.264/AVC高效帧内预测算法[J].电子学报,2006,34(1):152-154. 被引量:24
  • 2熊琦,杜旭,朱晓亮.一种基于短时平均幅度差的语音检测算法[J].电声技术,2006,30(9):50-53. 被引量:7
  • 3陈娟,夏军,尹涵春.压缩视频码流中运动矢量的提取[J].电子器件,2006,29(4):1342-1345. 被引量:4
  • 4高智芳,张新家.基于小波变换的除噪方法及其应用研究[J].信息安全与通信保密,2007,29(6):102-104. 被引量:16
  • 5秦运龙 孙广玲 张新鹏.利用运动矢量进行视频篡改检测.计算机研究与发展,2009,46:227-233.
  • 6LUKAS J, FRIDRICH J, GOLJAN M. Digital camera identification from sensor pattern noise [ J ]. IEEE Trans- actions on Information Forensics and Security, 2006, 1 (2) : 205-214.
  • 7LUKAS J, FRIDRICH J, GOLJAN M. Detecting digital image forgeries using sensor pattern noise [ C ]//Proceedings of SPIE Electronic Imaging, Photonics West. San Jose, USA: the SPIE, 2006:362-372.
  • 8HSU C, HUNG T, LIN C, et al. Video forgery detection using correlation of noise residue [ C ]//Proceedings of the 10th Workshop on Multimedia Signal Processing. Cairns, Australia: IEEE Computer Society, 2008: 170-174.
  • 9KOBAYASHI M, OKABE T, SATO Y. Detecting video forgeries based on noise characteristics E C ]//Proceedings of the 3rd Pacific-Rim Symposium on Image and Video Technology. Berlin Heidelberg, Germany: Springer-Verlag, 2009: 306-317.
  • 10HEN M, FRIDRICH J, GOLJAN M, et al. Determining image origin and integrity using sensor noise [ J ]. IEEE Transactions on Information Forensics and Security, 2008, 3 ( 1 ) : 74-90.

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