期刊文献+

基于边缘异常与压缩跟踪的视频抠像篡改检测 被引量:5

Detection of Video Matting Tamper Based on Edge Anomaly and Compressive Tracking
下载PDF
导出
摘要 近年来视频的真实性认证成为信息安全领域的一个研究热点。视频的篡改方式多种多样,为了有效判断视频中某个目标的出现是否真实,提出一种视频抠像的篡改检测方法。由于成像设备CFA插值的存在,使得像素存在一定的邻域相关性。为此,提取视频的帧序列,对图像帧进行Sobel边缘检测,计算边缘点4个方向上像素值的偏差来检测边缘点,确定异常边缘点,定位篡改区域,并对篡改区域进行学习,结合压缩跟踪算法快速查找时域上帧的篡改范围,当目标消失跟踪结束之后,在目标出现的最后一帧再次进行异常边缘检测,与最初检测到的异常区域进行对比,查看检测结果是否一致。实验结果表明,该算法大幅提高了检测效率,并且准确率较高。 In recent years, the authenticity of the video becomes a hot research topic in information security field. With various video tamper methods, this paper aims at detecting forgery of video keying to estimate if the appearance of an object is authentic. Because of the existence of the CFA interpolation, pixels have correlation with the adjacent pixels. It extracts video frames, detects the edge of the first video frame by Sobel operator and computes deviation of four directions to judge suspicious edge. And then it studies the tampered area, by using target tracking algorithm follow the area. It improves the detection efficiency greatly and the detection accuracy rate is better.
出处 《计算机工程》 CAS CSCD 2014年第7期267-271,276,共6页 Computer Engineering
基金 国家自然科学基金资助项目(61070062) 福建省高校产学合作科技基金资助重大项目(2012H6006) 福建省高校服务海西建设基金资助重点项目(2008HX200941-4-5) 福建省高等学校新世纪优秀人才支持计划基金资助项目(JAI1038) 福建省科学厅K类基金资助项目(JK2011007) 福建省教育厅A类基金资助项目(JA10064)
关键词 视频篡改 视频抠像 边缘检测 目标追踪 压缩跟踪 video tamper video keying edge detection target tracking compressive tracking
  • 相关文献

参考文献12

  • 1Wang Weihong,Farid H. Exposing Digital Forgeries in Video by Detecting Double MPEG Compression[A].New York,USA:ACM Press,2006.37-47.
  • 2Wang Weihong,Farid H. Exposing Digital Forgeries in Interlaced and De-interlaced Video[J].IEEE Transactions on Information Forensics and Security,2007,(03):438-449.
  • 3Wang Weihong,Farid H. Exposing Digital Forgeries in Video by Detecting Duplication[A].New York,USA:ACM Press,2007.35-42.
  • 4Wang Weihong,Farid H. Exposing Digital Forgeries in Video by Detecting Double Quantization[A].Princeton,USA:ACM Press,2009.39-48.
  • 5Hsu C C,Hung T Y,Lin C W. Video Forgery Detection Using Correlation of Noise Residue[A].Cairns,Australia:IEEE Computer Society,2008.170-174.
  • 6熊潇,黄征,徐彻,施少培,杨旭.基于预测残差检测的数字视频篡改鉴定[J].信息安全与通信保密,2008,30(12):128-130. 被引量:11
  • 7秦运龙;孙广玲;张新鹏.利用运动矢量进行视频篡改检测[J]计算机研究与发展,2009(z1):227-233.
  • 8王俊文,刘光杰,张湛,王执铨,戴跃伟.基于模式噪声的数字视频篡改取证[J].东南大学学报(自然科学版),2008,38(A02):13-17. 被引量:20
  • 9Su Yuting,Han Yu,Zhang Chengqian. Detection of Blue Screen Based on Edge Features[A].IEEE Press,2011.469-472.
  • 10Zhang Kaihua,Zhang Lei,Yang M H. Real-time Compressive Tracking[A].IEEE Press,2012.864-877.

二级参考文献11

  • 1Luo W, Qu Z, Pan F, et al. A survey of passive technology for digital image forensics [ J ]. Front Comupt Sci China, 2007, 1(2): 166-179.
  • 2Wang W, Farid H. Exposing digital forgeries in video by detecting double MPEG compression[ C]//ACM Multimedia and Security Workshop. Geneva, Switzerland, 2006: 37- 47.
  • 3Wang W, Farid H. Exposing digital forgeries in video by detecting duplication[C]//ACM Multimedia and Security Workshop. Dallas, Texas, 2007:35-42.
  • 4Kharrazi M, Sencur H T. Blind source camera identification[C]//International Conference on Image Processing(ICIP). Singapore, 2004:709-712.
  • 5Lukas J, Fridrich J, Goljan M. Determining digital image origin using sensor imperfections [ C ]//Proc of Conference on Image and Video Communications and Processing. Bellingham, 2005:249- 260.
  • 6Mihcak M K, Kozintsev I, Ramchandran K. Spatially adaptive statistical modeling of wavelet image coefficients and its application to denoising [C ]//Proc of IEEE Int Conf Acoustics, Speech, and Signal Processing. Phoenix, Arizona, 1999 : 3253 - 3256.
  • 7[2]K Mayer-Patel,B Smith,L Rowe.The Berkeley Software MPEG-1 Video Decoder[J].ACM Transactions on Multimedia Computing,Communications,and Applications,2005,1:pp.110-125
  • 8[3]Weihong Wang,H Farid.Exposing Digital Forgeries in Video by Detecting Double MPEG Compression[C].Proceedings of the 8th Workshop on Multimedia & Security,Geneva,Switzerland.2006:37-47.
  • 9[4]A Popescu,H Farid.Exposing Digital Forgeries by Detecting Traces of Re-Sampling[J].IEEE Transactions on Signal Processing,2005,53(02):758-767.
  • 10[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.

共引文献24

同被引文献47

  • 1辛万峰.视频编辑中的抠像特技[J].潍坊学院学报,2004,4(2):82-84. 被引量:4
  • 2薄华,马缚龙,焦李成.图像纹理的灰度共生矩阵计算问题的分析[J].电子学报,2006,34(1):155-158. 被引量:203
  • 3Farid H. Seeing is not believing[J]. IEEE Spectrum, 2009,8 .. 44-5 1.
  • 4Fridrich J. Digital image forensics[J]. IEEE Signal Pro- cessing Magazine. 200,0,3: 26-37.
  • 5Li Jian, Li Xiao-long, Yang Bin, et al. Segmentation-Based Image Copy-Move Forgery Detection Scheme [J]. IEEE Transactions on Information Forensics and Security, 2015,10(3) ..507-518.
  • 6XU Da-wen, WANG Rang-ding, WANG Ji-cheng. A novel watermarking scheme for H. 264/AVC video authentica- tion[J]. Signal Processing; Image Communication. 2011, 26(6) :267-279.
  • 7JIANG Xing-hao, SUN Tan-feng, ZHOU Y. et al. A robust H. 264 AVC video watermarking scheme with drift com- pensation[J]. Scientific World Journal, 2014.
  • 8Na S. W G. Jeong D S. A frame-based video signature method for very quick video identification and location [J]. ETRI Journal, 201_3,35(2) ,281-291.
  • 9Delp E, Memon N,Wu M. Digital forensics[J]. IEEE Signal Processing Magazine, ZOO9,3 : 14-15.
  • 10JIANG Xing-hao, WANG Wan, SUN Tan-feng, et al. Detec- tion of double compressionin MPEG-4 videos based on Markov statistics [J]. Signal Processing Letters, IEEE, 2013,20(5) :447-450.

引证文献5

二级引证文献7

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部