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Detecting tampered region in video using LSTM and U‐Net
Author(s) -
Taya Kunihiko,
Kuroki Nobutaka,
Takeda Naoto,
Hirose Tetsuya,
Numa Masahiro
Publication year - 2020
Publication title -
electronics and communications in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.131
H-Index - 13
eISSN - 1942-9541
pISSN - 1942-9533
DOI - 10.1002/ecj.12265
Subject(s) - computer science , artificial intelligence , computer vision , domain (mathematical analysis) , digital video , measure (data warehouse) , image (mathematics) , digital image , subject (documents) , pattern recognition (psychology) , computer graphics (images) , data mining , image processing , world wide web , telecommunications , mathematics , mathematical analysis , transmission (telecommunications)
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.