L2-Constrained RemNet for Camera Model Identification and Image Manipulation Detection

Computer Vision – ECCV 2020 Workshops - Lecture Notes in Computer Science ◽

10.1007/978-3-030-66823-5_16 ◽

2020 ◽

pp. 267-282

Author(s):

Abdul Muntakim Rafi ◽

Jonathan Wu ◽

Md. Kamrul Hasan

Keyword(s):

Model Identification ◽

Image Manipulation ◽

Camera Model ◽

Manipulation Detection

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Reliable Camera Model Identification Using Sparse Gaussian Processes

IEEE Signal Processing Letters ◽

10.1109/lsp.2021.3070206 ◽

2021 ◽

pp. 1-1

Author(s):

Benedikt Lorch ◽

Franziska Schirrmacher ◽

Anatol Maier ◽

Christian Riess

Keyword(s):

Gaussian Processes ◽

Model Identification ◽

Camera Model

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A study of co-occurrence based local features for camera model identification

Multimedia Tools and Applications ◽

10.1007/s11042-016-3663-0 ◽

2016 ◽

Vol 76 (4) ◽

pp. 4765-4781 ◽

Cited By ~ 21

Author(s):

Francesco Marra ◽

Giovanni Poggi ◽

Carlo Sansone ◽

Luisa Verdoliva

Keyword(s):

Model Identification ◽

Local Features ◽

Camera Model

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Deep Learning Based Counter–Forensic Image Classification for Camera Model Identification

Digital Forensics and Watermarking - Lecture Notes in Computer Science ◽

10.1007/978-3-319-64185-0_5 ◽

2017 ◽

pp. 52-64 ◽

Cited By ~ 5

Author(s):

Venkata Udaya Sameer ◽

Ruchira Naskar ◽

Nikhita Musthyala ◽

Kalyan Kokkalla

Keyword(s):

Deep Learning ◽

Image Classification ◽

Model Identification ◽

Camera Model

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Structuring Element-counting Approach for Morphological Pattern Spectrum-based Image Manipulation Detection

2019 2nd International Symposium on Devices, Circuits and Systems (ISDCS) ◽

10.1109/isdcs.2019.8719260 ◽

2019 ◽

Cited By ~ 1

Author(s):

Kyosuke Kageyama ◽

Takeshi Kumaki ◽

Tetsushi Koide

Keyword(s):

Image Manipulation ◽

Morphological Pattern ◽

Pattern Spectrum ◽

Structuring Element ◽

Counting Approach ◽

Manipulation Detection

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A Convolutional Neural Network Architecture for Camera Model Identification with Small Datasets

2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) ◽

10.1109/conecct50063.2020.9198595 ◽

2020 ◽

Author(s):

Ram Padmanabhan ◽

Swaroop Damodaran ◽

Vidush Navkesh Batra ◽

Sanjeev Gurugopinath

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Network Architecture ◽

Model Identification ◽

Camera Model ◽

Neural Network Architecture

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Constrained R-Cnn: A General Image Manipulation Detection Model

2020 IEEE International Conference on Multimedia and Expo (ICME) ◽

10.1109/icme46284.2020.9102825 ◽

2020 ◽

Author(s):

Chao Yang ◽

Huizhou Li ◽

Fangting Lin ◽

Bin Jiang ◽

Hao Zhao

Keyword(s):

Image Manipulation ◽

Detection Model ◽

Manipulation Detection

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Detecting anti-forensic attacks on demosaicing-based camera model identification

2017 IEEE International Conference on Image Processing (ICIP) ◽

10.1109/icip.2017.8296534 ◽

2017 ◽

Cited By ~ 2

Author(s):

Chen Chen ◽

Xinwei Zhao ◽

Matthew C. Stamm

Keyword(s):

Model Identification ◽

Camera Model

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Camera-Model Identification Using Markovian Transition Probability Matrix

Digital Watermarking - Lecture Notes in Computer Science ◽

10.1007/978-3-642-03688-0_26 ◽

2009 ◽

pp. 294-307 ◽

Cited By ~ 10

Author(s):

Guanshuo Xu ◽

Shang Gao ◽

Yun Qing Shi ◽

RuiMin Hu ◽

Wei Su

Keyword(s):

Transition Probability ◽

Model Identification ◽

Transition Probability Matrix ◽

Camera Model

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CNN-based Camera Model Identification Using Image Noise in Frequency Domain

2019 IEEE International Conference on Systems, Man and Cybernetics (SMC) ◽

10.1109/smc.2019.8914375 ◽

2019 ◽

Author(s):

Tiantian Cai ◽

Zhanjian Shao ◽

Yoichi Tomioka ◽

Yuanyuan Liu ◽

Zhu Li

Keyword(s):

Frequency Domain ◽

Model Identification ◽

Image Noise ◽

Camera Model

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A Deep Learning Approach to Universal Image Manipulation Detection Using a New Convolutional Layer

Proceedings of the 4th ACM Workshop on Information Hiding and Multimedia Security - IH&MMSec '16 ◽

10.1145/2909827.2930786 ◽

2016 ◽

Cited By ~ 132

Author(s):

Belhassen Bayar ◽

Matthew C. Stamm

Keyword(s):

Deep Learning ◽

Image Manipulation ◽

Learning Approach ◽

Manipulation Detection

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