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Machine Learning and Information Processing pp 61–68Cite as

Camera Model Identification Using Transfer Learning

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1101))

Abstract

Wide series of forensic problems can be solved by detecting the camera model from copyright infringement to ownership attribution. There are many proposed methods for detection of the camera model. A method to identify the camera model of any image is proposed in this paper. It involved feature extraction and classification. CNN-based architectures are best suited for the task of image classification.

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References

  1. Tuama, Amel, Frédéric Comby, Marc Chaumont. 2016. Camera model identification with the use of deep convolutional neural networks. Available via http://www.lirmm.fr/~chaumont/publications/WIFS-2016_TUAMA_COMBY_CHAUMONT_Camera_Model_Identification_With_CNN_slides.pdf. Accessed January 13, 2018.

  2. Antorsae. 2018. IEEE’s Signal Processing Society—Camera Model Identification Kaggle Competition. Available via https://github.com/antorsae/sp-society-camera-model-identification. Accessed March 25, 2018.

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  5. Bondi, Luca, Luca Baroffio, David Guera, Paolo Bestagini, Edward Delp, and Stefano Tubaro. 2015 First steps toward camera model identification with convolutional neural networks. Journal of Latex Class Files 14: 1–4. arXiv:1603.01068.

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  7. Kuzin, Artur, Artur Fattakhov, Ilya Kibardin, Vladimir Iglovikov, and Ruslan Dautov. 2018. Camera model identification using convolutional neural networks, 1–4. arXiv:1810.02981.

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Acknowledgements

The authors feel grateful to and they wish their profound indebtedness to their guide Prof. Milind Kamble, Department of Electronics and Telecommunication, Vishwakarma Institute of Technology, Pune. The authors also express their gratitude to Prof. Dr. R. M. Jalnekar, Director, and Prof. Dr. Shripad Bhatlawande, Head, Department of Electronics and Telecommunication, for their help in completion of the project. The authors also thank all the anonymous reviewers of this paper whose comments helped to improve the paper.

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Authors and Affiliations

  1. Electronics and Telecommunication Department, Vishwakarma Institute of Technology, Pune, India

    Mohit Kulkarni, Shivam Kakad, Rahul Mehra & Bhavya Mehta

Authors
  1. Mohit Kulkarni
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  2. Shivam Kakad
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  3. Rahul Mehra
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  4. Bhavya Mehta
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Corresponding author

Correspondence to Mohit Kulkarni .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Rama Devi Women’s University, Bhubaneswar, Odisha, India

    Debabala Swain

  2. School of Computer Engineering, Kalinga Institute of Industrial Technology Deemed to be University, Bhubaneswar, Odisha, India

    Prasant Kumar Pattnaik

  3. Department of Computer Science and Engineering, Jaypee University of Information Technology, Waknaghat, Himachal Pradesh, India

    Pradeep K. Gupta

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Kulkarni, M., Kakad, S., Mehra, R., Mehta, B. (2020). Camera Model Identification Using Transfer Learning. In: Swain, D., Pattnaik, P., Gupta, P. (eds) Machine Learning and Information Processing. Advances in Intelligent Systems and Computing, vol 1101. Springer, Singapore. https://doi.org/10.1007/978-981-15-1884-3_6

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