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首页> 外文期刊>Malaysian Journal of Computer Science >Digital Video Inpainting Detection Using Correlation Of Hessian Matrix
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Digital Video Inpainting Detection Using Correlation Of Hessian Matrix

机译：基于Hessian矩阵相关性的数字视频修复检测

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摘要

The use of digital video during forensic investigation helps in providing evidence related to crime scene. However, due to freely available user friendly video editing tools, the forgery of acquired digital videos that are used as evidence in a law suit is now simpler and faster. As a result, it has become easier for manipulators to alter the contents of digital evidence. For instance, inpainting technique is used to remove an object from a video without leaving any artefact of illegal tampering. Therefore, this paper presents a technique for detecting and locating inpainting forgery in a video sequence with static camera motion. Our technique exploits statistical correlation of Hessian matrix (SCHM) to detect and locate tampered regions within a video sequence. The results of our experiments prove that the technique effectively detect and locate areas which are tampered using both texture and structure based inpainting with an average precision rate of 99.79% and an average false positive rate of 0.29%.
机译：在法医调查期间使用数字视频有助于提供与犯罪现场有关的证据。但是，由于免费提供了用户友好的视频编辑工具，现在伪造用作诉讼证据的数字视频变得更简单，更快捷。结果，操纵者改变数字证据的内容变得更加容易。例如，修复技术用于从视频中删除对象，而不会留下任何非法篡改的假象。因此，本文提出了一种在静态摄像机运动的视频序列中检测和定位修补图像伪造的技术。我们的技术利用Hessian矩阵（SCHM）的统计相关性来检测和定位视频序列中的篡改区域。我们的实验结果证明，该技术可以有效地检测和定位使用基于纹理和结构的修补图像进行篡改的区域，平均准确率为99.79％，平均误报率为0.29％。

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