Modular Convolutional Neural Network for Discriminating between Computer-Generated Images and Photographic Images

Autor: Isao Echizen, T. Ngoc-Dung Tieu, Junichi Yamagishi, Huy H. Nguyen, Hoang-Quoc Nguyen-Son, Vincent Nozick

Publikováno v: ARES 2018 Proceedings of the 13th International Conference on Availability, Reliability and Security
13th International Conference on Availability, Reliability and Security
13th International Conference on Availability, Reliability and Security, Aug 2019, Hambourg, Germany. pp.1-10, ⟨10.1145/3230833.3230863⟩
H. Nguyen, H, T. Tieu, N-D, Nguyen-Son, H-Q, Nozick, V, Yamagishi, J & Echizen, I 2018, Modular Convolutional Neural Network for Discriminating between Computer-Generated Images and Photographic Images . in 13th International Conference on Availability, Reliability and Security (ARES 2018) ., 1, Hamburg, Germany, pp. 1:1-1:10, 13th International Conference on Availability, Reliability and Security, Hamburg, Germany, 27/08/18 . https://doi.org/10.1145/3230833.3230863
ARES

International audience; Discriminating between computer-generated images (CGIs) and photographic images (PIs) is not a new problem in digital image forensics. However, with advances in rendering techniques supported by strong hardware and in genera-t

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https://hal-upec-upem.archives-ouvertes.fr/hal-02007485