In the world today, we can always shoot digital videos with smartphones and share them with family or friends after editing them. It is necessary to check whether these videos have been tampered with to use them as forensic evidence in criminal investigations. This paper proposes a method for detecting tampered regions in a video where a specific subject is removed from a scene. In the proposed method, we use LSTM for the time domain analysis and UNet for the space domain analysis. The detection accuracy achieved 0.98 in terms of F‐measure, even though tampered the region was deformed or moved in the video. The experimental results show superior performance in the detection of tampered regions in digital videos.

中文翻译：

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使用LSTM和U-Net检测视频中的篡改区域

在当今世界中，我们始终可以使用智能手机拍摄数字视频，并在编辑后与家人或朋友分享。有必要检查这些视频是否已被篡改，以将其用作刑事调查中的法证。本文提出了一种用于检测视频中被篡改区域的方法，其中从场景中删除了特定对象。在提出的方法中，我们使用LSTM进行时域分析，并使用UNet进行空间域分析。即使被篡改的区域在视频中变形或移动，根据F测量，检测精度仍达到0.98。实验结果表明，在检测数字视频中的篡改区域方面，它具有出色的性能。