对象级数字视频被动取证技术研究
发布时间：2018-07-22 20:47
【摘要】：近几年,以数字图像和数字视频为代表的多媒体技术的飞速发展以及高质量便携的数码摄像设备的广泛普及,多种多样的数字多媒体资源给人们的生活、工作带来了不少的方便和乐趣,于此同时,越来越多的图像视频编辑软件应运而生,然而一些不法之徒却利用其易获得性和易操作性的特点恶意制造虚假视频,散发谣言,敲诈勒索,严重扰乱了社会秩序,给信息安全带来了严峻挑战。因此如何快速有效检测数字视频的原始性、完整性和真实性成为数字视频安全领域人们日益关注的课题之一。数字视频被动取证技术就是在这种情况下产生的。本论文首先对数字视频被动取证技术研究现状进行概述,随后围绕视频内容真实性篡改检测中的关键问题展开研究和探索。内容篡改中以对象级篡改最为具有迷惑性。对象级篡改是指以前景对象为目标,对视频进行篡改,主要用于区别整帧篡改。本文主要针对对象级数字视频被动取证技术在以下三个方面开展工作:(1)针对对象移除篡改操作,通过对比高频分量差异度来对视频对象移除篡改进行检测。由对篡改软件分析得出在视频篡改时,为了达到视觉连贯性的目的,篡改软件通常会引入相类似的修复操作,这就使得篡改区域高频分量差异性较小。实验结果表明该算法取得了较好的基于子集的漏警率、虚警率,分别为7.20%和3.07%。(2)在上述方法的基础上,分别从时域、空域两个角度挖掘互补特征,提出了一种针对对象移除视频的空时域联合检测算法。在时域提取残留信息时,从视频剖面图的角度尝试分析篡改区域,此方法不仅达到了降维的目的,还使得篡改痕迹更加凸显。实验结果表明该方法相较(1)方法检测率得到了进一步提升。(3)针对异源视频合成篡改操作,利用光流易受拍摄环境影响的特征,通过对比合成视频中不同前景对象的光流,来判断前景对象是否来自同一拍摄环境。异源视频合成篡改是指将不同视频内的前景对象合成到同一个视频背景下的操作。因光流除与物体速度有关外,其大小也会受不同拍摄环境下光照强度的影响,所以排除速度因素影响后的光流值还具有表征背景环境的作用。
[Abstract]:In recent years, with the rapid development of multimedia technology, represented by digital images and video, and the widespread popularization of high quality portable digital camera equipment, various kinds of digital multimedia resources have given people's lives. Work has brought a lot of convenience and pleasure. At the same time, more and more image and video editing software has come into being. However, some lawbreakers have made malicious use of their characteristics of accessibility and maneuverability to create false videos and disseminate rumors. Extortion seriously disturbs social order and brings severe challenge to information security. Therefore, how to quickly and effectively detect the originality, integrity and authenticity of digital video has become one of the increasingly concerned topics in the field of digital video security. Digital video passive forensics technology is produced in this situation. This paper firstly summarizes the research status of digital video passive forensics, and then focuses on the key issues of video content authenticity tampering detection. Object level tampering is the most puzzling in content tampering. Object-level tampering refers to tampering video with foreground object, which is mainly used to distinguish the whole frame tampering. This paper mainly focuses on the object level digital video passive forensics technology in the following three aspects: (1) for the object removal tamper operation by comparing the high-frequency component difference to detect the video object removal tamper. From the analysis of tampering software, in order to achieve visual coherence, tampering software usually introduces similar repair operations, which makes the difference of high-frequency components in tamper region small. The experimental results show that the proposed algorithm achieves better subsets based false alarm rate (7.20%) and false alarm rate (3.07%). (2) on the basis of the above methods, the complementary features are mined from the time domain and the spatial domain, respectively. A joint space-time detection algorithm for object removal video is proposed. When the residual information is extracted in time domain, we try to analyze the tampering area from the angle of video profile. This method not only achieves the purpose of reducing the dimension, but also makes the tampering trace more prominent. The experimental results show that the detection rate of this method is further improved than that of (1) method. (3) aiming at the heterogenous video synthesis tampering operation, the optical flow of different foreground objects in the synthesized video is compared by using the characteristics of the optical flow which is easy to be affected by the shooting environment. To determine whether the foreground object is from the same shooting environment. Heterogeneous video synthesis tampering refers to the operation of synthesizing foreground objects in different video into the same video background. Because the light flow is not only related to the velocity of the object, but also affected by the intensity of light in different shooting environment, so the value of the light flow after excluding the influence of the velocity factor also has the function of representing the background environment.
【学位授予单位】：宁波大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP391.41;D918.2
[Abstract]:In recent years, with the rapid development of multimedia technology, represented by digital images and video, and the widespread popularization of high quality portable digital camera equipment, various kinds of digital multimedia resources have given people's lives. Work has brought a lot of convenience and pleasure. At the same time, more and more image and video editing software has come into being. However, some lawbreakers have made malicious use of their characteristics of accessibility and maneuverability to create false videos and disseminate rumors. Extortion seriously disturbs social order and brings severe challenge to information security. Therefore, how to quickly and effectively detect the originality, integrity and authenticity of digital video has become one of the increasingly concerned topics in the field of digital video security. Digital video passive forensics technology is produced in this situation. This paper firstly summarizes the research status of digital video passive forensics, and then focuses on the key issues of video content authenticity tampering detection. Object level tampering is the most puzzling in content tampering. Object-level tampering refers to tampering video with foreground object, which is mainly used to distinguish the whole frame tampering. This paper mainly focuses on the object level digital video passive forensics technology in the following three aspects: (1) for the object removal tamper operation by comparing the high-frequency component difference to detect the video object removal tamper. From the analysis of tampering software, in order to achieve visual coherence, tampering software usually introduces similar repair operations, which makes the difference of high-frequency components in tamper region small. The experimental results show that the proposed algorithm achieves better subsets based false alarm rate (7.20%) and false alarm rate (3.07%). (2) on the basis of the above methods, the complementary features are mined from the time domain and the spatial domain, respectively. A joint space-time detection algorithm for object removal video is proposed. When the residual information is extracted in time domain, we try to analyze the tampering area from the angle of video profile. This method not only achieves the purpose of reducing the dimension, but also makes the tampering trace more prominent. The experimental results show that the detection rate of this method is further improved than that of (1) method. (3) aiming at the heterogenous video synthesis tampering operation, the optical flow of different foreground objects in the synthesized video is compared by using the characteristics of the optical flow which is easy to be affected by the shooting environment. To determine whether the foreground object is from the same shooting environment. Heterogeneous video synthesis tampering refers to the operation of synthesizing foreground objects in different video into the same video background. Because the light flow is not only related to the velocity of the object, but also affected by the intensity of light in different shooting environment, so the value of the light flow after excluding the influence of the velocity factor also has the function of representing the background environment.
【学位授予单位】：宁波大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP391.41;D918.2
【相似文献】
相关期刊论文 前10条
1 丁秋峰;孙国梓;;云计算环境下取证技术研究[J];信息网络安全;2011年11期
2 朱翔;;电子取证技术的发展与规范[J];警察技术;2006年04期
3 田志宏;姜伟;张宏莉;;一种支持犯罪重现的按需取证技术[J];清华大学学报(自然科学版);2014年01期
4 徐宏斌;;计算机动态取证技术研究[J];贵州警官职业学院学报;2007年01期
5 ;智能手机取证技术研究[J];警察技术;2012年05期
6 刘聪颖;陈晓平;张鹏;;电子犯罪取证浅谈——技术的发展及国外的相关法律[J];科技信息;2014年10期
7 刘泽;;信息化警务模式下网络取证技术完善的研究[J];网络安全技术与应用;2012年01期
8 彭建新;周元建;;iOS设备取证技术研究[J];中国人民公安大学学报(自然科学版);2012年04期
9 赵振洲;乔明秋;;基于ATT-3000的动态仿真取证技术研究[J];北京政法职业学院学报;2010年04期
10 ;英国运用远程取证技术打击网络犯罪[J];计算机与网络;2007年16期
相关会议论文 前10条
1 赵志岩;王任华;邵，
本文编号：2138527
本文链接：https://www.wllwen.com/falvlunwen/fanzuizhian/2138527.html
