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 ◽

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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 ◽

Author(s):

Francesco Marra ◽

Giovanni Poggi ◽

Carlo Sansone ◽

Luisa Verdoliva

Keyword(s):

Model Identification ◽

Local Features ◽

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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 ◽

Author(s):

Venkata Udaya Sameer ◽

Ruchira Naskar ◽

Nikhita Musthyala ◽

Kalyan Kokkalla

Keyword(s):

Deep Learning ◽

Image Classification ◽

Model Identification ◽

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

2017 IEEE International Conference on Image Processing (ICIP) ◽

10.1109/icip.2017.8296534 ◽

2017 ◽

Author(s):

Chen Chen ◽

Xinwei Zhao ◽

Matthew C. Stamm

Keyword(s):

Model Identification ◽

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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 ◽

Author(s):

Guanshuo Xu ◽

Shang Gao ◽

Yun Qing Shi ◽

RuiMin Hu ◽

Wei Su

Keyword(s):

Transition Probability ◽

Model Identification ◽

Transition Probability Matrix ◽

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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 ◽

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Optimal detector for camera model identification based on an accurate model of DCT coefficients

2014 IEEE 16th International Workshop on Multimedia Signal Processing (MMSP) ◽

10.1109/mmsp.2014.6958810 ◽

2014 ◽

Author(s):

Thanh Hai Thai ◽

Remi Cogranne ◽

Florent Retraint

Keyword(s):

Model Identification ◽

Camera Model ◽

Accurate Model ◽

Optimal Detector ◽

Dct Coefficients

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Camera Model Identification Using Local Binary Patterns

2012 IEEE International Conference on Multimedia and Expo ◽

10.1109/icme.2012.87 ◽

2012 ◽

Author(s):

Guanshuo Xu ◽

Yun Qing Shi

Keyword(s):

Model Identification ◽

Local Binary Patterns ◽

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Camera model identification based on the generalized noise model in natural images

Digital Signal Processing ◽

10.1016/j.dsp.2015.10.002 ◽

2016 ◽

Vol 48 ◽

pp. 285-297 ◽

Author(s):

Thanh Hai Thai ◽

Florent Retraint ◽

Rémi Cogranne

Keyword(s):

Model Identification ◽

Natural Images ◽

Noise Model ◽

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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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