南京大学学报(自然科学版) ›› 2011, Vol. 47 ›› Issue (6): 493–503.

• •    下一篇

 利用内容连续性的数字视频篡改检测*

 黄添强1.2**陈智文1，苏立超1，郑之1，袁秀娟1
  

  • 出版日期:2015-05-09 发布日期:2015-05-09
  • 作者简介: (l.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)
  • 基金资助:
     国家自然科学基金(61070062),福建省自然科学基金2008J04004),福建省高校服务海西建设重点项日
    (2008HX200941一4一5).福建省高等学校新世纪优秀人才支持计划(JA11038)

 Digital video forgeries detection based on content continuity*

 Huang Tian一Qiang 1.2，Chen Zhi-Wen1Su Li-Chao1，Zheng Zhi1,Yuan Xiu一Juan1   

  • Online:2015-05-09 Published:2015-05-09
  • About author: (1 .School of Mathematics and Computer Science,Fujian Normal University,Fuzhou，350007 , China;
    2. Key Laboratory of Network Security and CVryptography,Fujian Normal University, Fuzhou，350007. China)

PDF (PC)

854

摘要：  木文基于帧间内容连续性，提出一种通过灰度值来刻画视频帧内容，利用帧间内容相关性连续度来刻画连续性与否，自适应设定阂值找出篡改点的视频篡改检测方法.首先将视频帧内容转化为一
系列连续的图像帧，通过图像帧的灰度值计算帧间相关性，并计算相关性变化度，二次利用切比雪夫不等式自适应设定阂值，判断出离群点.实验表明，提出的方法检测运动背景下不小于10帧的帧删除，帧
插入及帧替换篡改操作能够取得理想的效果.

Abstract:  Recently with the development of video editing techniques it becomes increasingly easy to modify the digital video.There is an urgent need for reliable digital forensics techniques.This paper, based on interframc
content continuity, proposes a digital video tampering method which adaptively sets thresholds to detect outlicrs. The method uses gray values to depict the video content，and uses the correlation continuity of the interframc
content to describe whether video content is continuous or not. Video is an orderly time-serice images in one- dimensional time domain.Therefore, for the video tamper detection, we could transfer video into series of image for
testing. Grey values of frames can be a good representative of the video content，which reflect the distribution and characteristics of the image color and brightness level.Time interval between adjacent frames is small and the
relevance of the content is high，but the content correlation between the far apart frames is relatively low. We calculate the correlation between the pixels in two frames to describe the continuity between frames. In order to
more accurately measure the continuity of the contents of frames, in this paper, we sec the absolute difference of the correlation between the frames as the basis of whether or not the video was tampered. Firstly, the video frames are
translated into a series of consecutive image frames, and according to grey values of image frames, the interframc correlation is calculated. At the same time, the changing degree of correlation is computed. With the purpose of
improving the efficiency, the Chebyshev inequality is used twice to set threshold adaptively and then detect outlicrs. The identification scheme that is proposed in this paper performs well under any widely used video formats.
Experimental results show that this method can effectively detect the tempered video with moving background including frame deletion, frame insertion and frame substitution on the understanding that the tempered frames are
no less than 10. video tampering，content continuity, chebyshev inequality, outlier detection

 [1] Zhou I. N, Wang D M. Digital image forensics. Beijing; Beijing University of Posts and Telecommunications Press, 2008，1一17.(周琳娜，土东明.数字图像取证技术.北京邮电大学出版社，2008,1一17).
[2] Wang W, Farid H. Exposing digital forferies in video by detecting duplication. Proceedings of the 9th Workshop on Multimedia and Security. New York,USA，2007:3J一12.
[3] Wang W, Farid H. Exposing digital forgeries in interlaced and dcinterlaced video. IEEE Transactions on information Forensics and Security, 2007，2(3):138一449.
[4] Wang W, Farid H. Detecting re-projected video. Information Hiding;The 10th International Workshop, IH2008. Santa Barbara, CA，2008，72一86.
[5] Wang W H，Farid H. Exposing digital forgeries in video by detecting double MPEG compression. Proceedings of the Multimedia and Security Workshop. Geneva, Switzerland: ACM, 2006:37一17.
[6] Wang W H Farid H. Exposing digital forgeries in video by detecting double quantization. ACM Multimedia and Security Workshop. Princeton, 2009，39一18.
[7] Shih T，Tsai J，Tang N, et al. Video forgery. Future Generation Information Technology,2009,7~11
[8] Shih T，Tsai，Tang N，et al. Video forgery and special effect production.Visual Informatics: Bridging Research and Practice 2009,35~37
[9] Hu Y J，Liu Bei B, He Q H. Survey on techniques of digital multimedia forensics. Journal of Computer Applications, 2010，30(3): 657一662.(胡永健，刘绊贝，贺前华.数字多媒体取证技术综述.计算机应用，2010,30(3):657一662).
[10] Xiong X, Huang Z, Xu C，et al. Digital video forgeries detection based on prediction error. China information Security 2008，5(12):128 ~130.熊潇，黄征，徐彻等.基于预测残差检测的数字视频篡改鉴定.信息安全与通信保密，2008, 5(12): 128一130).
[11] Qin Y L, Sun G L,Wang S G, et al.Blind detection of video squcnce montage based on GOP abnormality. Chinese Journal of Electronics, 2010, 38; 1597一1602.(秦运龙，孙广玲，土朔中等.根据UOP异常进行视频序列剪辑篡改的自检测.电子学报，2010, 38:1597一1602).
[12] Lukas J，Fridrich J，Goljan M. Digital camera identification from Sensor pattern noise.Leee Transactions on Information Forensics AND Security, 2006，1 (2):205一214.
[13] Hsu C C, Hung T Y，Lin C W, et al. Video forgery detection using correlation of noise residue. Proceedings of the 10th Workshop On Multimedia Signal Processing. Cairns， Australia;lEEE Computer Society, 2008，170 ~174.
[14] Wang J W, Liu G J，Zhang Z，et al. Detection of forgery in digital video based on pattern noise. Journal of Nanjing University (Natural Sciences)，2008，38(Supplement II):
13一17.(王俊文，刘光杰，张湛等.基于模式噪声的数字视频篡改取证.南京大学学报(自然科学)，2008，38(增刊II):13一17).
[15] Qin Y I.，Sun G L, Zhang X P. Exposing digital forgeries in video via motion vectors. Journal of Computer Research and Development，2009，46 (Supplement);227一
233.(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(增刊):227一233).
[16] He Z. Lip-Chebyshev-based method for data stream anomaly detection and analysis. Computer System and Applications，2009，10:61~ 64.(贺忠.基于Lip一切比雪夫方法的数据流异常检测分析.计算机系统应用，2009，10:61一64).
No related articles found!
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!

版权所有 © 2021 《南京大学学报(自然科学)》

地址：江苏省南京市鼓楼区汉口路22号，南京大学学报编辑部，210093

电话：025-83592704 , 传真：025-83592704        技术支持：北京玛格泰克科技发展有限公司