Effective and efficient pixel-level detection for diverse video copy-move forgery types

Author:

Zhong Jun-Liu,Gan Yan-Fen,Vong Chi-Man,Yang Ji-Xiang,Zhao Jing-Hong,Luo Jia-Hua

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Exposing video surveillance object forgery by combining TSF features and attention-based deep neural networks;Journal of Visual Communication and Image Representation;2024-10

2. A distortion model guided adversarial surrogate for recaptured document detection;Pattern Recognition;2024-07

3. Blind forgery detection using enhanced mask-region convolutional neural network;Multimedia Tools and Applications;2024-05-24

4. Deep Video Forensics: Unveiling Spatial Forgery Detection with Modified ResNet50;2024 IEEE 13th International Conference on Communication Systems and Network Technologies (CSNT);2024-04-06

5. A novel method for real-time object-based copy-move tampering localization in videos using fine-tuned YOLO V8;Forensic Science International: Digital Investigation;2024-03

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