Passive forensics for video object removal tampering

Ye YAO; Wei-tong HU; Yi-zhi REN

doi:10.11959/j.issn.2096-109x.2017.00123

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Passive forensics for video object removal tampering

Academic paper | 更新时间：2024-06-03

- Passive forensics for video object removal tampering
- Chinese Journal of Network and Information Security Vol. 3, Issue 2, Pages: 46-52(2017)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-109x.2017.00123
  CLC： TP309
- Online First：2017-02，
  
  Published：15 February 2017
- 稿件说明：
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Ye YAO, Wei-tong HU, Yi-zhi REN. Passive forensics for video object removal tampering[J]. Chinese Journal of Network and Information Security, 2017, 3(2): 46-52.
DOI：

Ye YAO, Wei-tong HU, Yi-zhi REN. Passive forensics for video object removal tampering[J]. Chinese Journal of Network and Information Security, 2017, 3(2): 46-52. DOI： 10.11959/j.issn.2096-109x.2017.00123.

摘要

首先，对数字视频目标移除篡改的被动取证概念及重要性进行了介绍；然后，选择了几种具有代表性的视频目标移除篡改被动取证算法，并将这些算法按照未来发展趋势分为基于相关性分析的被动取证和基于机器学习的被动取证这两大类，详细介绍了这几种算法的主要步骤和过程；最后，对本领域未来的研究趋势进行了展望。

Abstract

Firstly

the concept and importance of digital video object removal tampering forensics were introduced. Then

several current passive forensics algorithms for object removal tampering were selected and divided into two categories that based on correlation analysis and based on machine learning algorithm according to development trends. The selected passive forensics algorithms were introduced in detail. Finally

some possible research trends in video object removal tampering detections in the future were looked forward to.

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Keywords

references

徐正全，徐彦彦．可视媒体信息安全 [M ] ．北京：高等教育出版社， 2012 .

XU Z Q , XU Y Y . Visual media information security [M ] . Beijing : Higher Education Press , 2012 .

杨锐，骆伟祺，黄继武．多媒体取证 [J ] . 中国科学：信息科学， 2013 ( 12 ): 1654 - 1672 .

YANG R , LUO W Q , HUANG J W . Multimedia forensics [J ] . Sci-entia Sinica: Informationis , 2013 ( 12 ): 1654 - 1672 .

陈威兵，杨高波，陈日超，等．数字视频真实性和来源的被动取证 [J ] . 通信学报， 2011 ( 6 ): 177 - 183 .

CHEN W B , YANG G B , CHEN R C , et al . Digital video passive forensics for its authenticity and source [J ] . Journal on Communica-tions , 2011 ( 6 ): 177 - 183 .

冯春晖，徐正全，郑兴辉，等．数字可视媒体取证 [J ] . 通信学报， 2014 ( 4 ): 155 - 165 .

FENG C H , XU Z Q , ZHENG X H , et al . Digital visual media fo-rensics [J ] . Journal on Communications , 2014 ( 4 ): 155 - 165 .

曹刚，赵耀，倪蓉蓉．多媒体内容认证 [J ] . 中国计算机学会通信， 2011 , 7 ( 2 ): 38 - 44 .

CAO G , ZHAO Y , NI R R . Multimedia content authentication [J ] . China Computer Federation Communications , 2011 , 7 ( 2 ): 38 - 44 .

LI L D , WANG X W , ZHANG W , et al . Detecting removed object from video with stationary background [C ] // IWDW . 2013 : 242 - 252 .

李倩，王让定，徐达文．基于视频修复的运动目标删除篡改行为的检测算法 [J ] . 光电子·激光， 2016 ( 2 ): 182 - 190 .

LI Q , WANG R D , XU D W . Detection to video moving object de-letion based on video inpainting [J ] . Journal of Optoelectron-ics•Laser , 2016 ( 2 ): 182 - 190 .

LIN C S , TSAY-JYH J . A passive approach for effective detection and localization of region-level video forgery with spatio- tem-poral coherence analysis [J ] . Digital Investigation , 2014 , 11 ( 2 ): 120 - 140 .

PATWARDHAN K A , GUILLERMO S , MARCELO B . Video inpainting under constrained camera motion [J ] . IEEE Transactions on Image Processing , 2007 , 16 ( 16 ): 545 - 553 .

ANTONIO C , PATRICK P , KENTARO T . Region filling and object removal by exemplar-based image inpainting [J ] . IEEE Transactions on Image Processing , 2004 , 13 ( 9 ): 1200 - 1212 .

BESTAGINI P , MILANI S , TAGLIASACCHI M . Local tampering detection in video sequences [C ] // MMSP . 2013 : 488 - 493 .

MATHAI M , RAJAN D , EMMANUEL S . Video forgery detection and localization using normalized cross-correlation of moment fea-tures [C ] // SSIAI . 2016 : 149 - 152 .

CHEN R C , YANG G B , ZHU N B . Detection of object-based manipulation by the statistical features of object contour [J ] . Foren-sic Science International , 2014 , 236 ( 3 ): 164 - 169 .

TAN S Q , CHEN S D , LI B . GOP based automatic detection of object-based forgery in advanced video [C ] // 2015 Asia-Pacific Sig-nal and Information Processing Association Annual Summit and Conference (APSIPA) . 2015 : 719 - 722 .

CHEN S D , TAN S Q , LI B , et al . Automatic detection of ob-ject-based forgery in advanced video [J ] . IEEE Transactions on Circuits and Systems for Video Technology , 2015 : 1 .

EBDELLI M , LE M O , GUILLEMOT C . Video inpainting with short-term windows: application to object removal and error con-cealment [J ] . IEEE Transactions on Image Processing , 2015 , 24 ( 10 ): 3034 - 3047 .

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