A Comprehensive Survey on Passive Video Forgery Detection Techniques

Author:

Kumar Vinay,Singh Abhishek,Kansal Vineet,Gaur Manish

Publisher

Springer Singapore

Reference72 articles.

1. R. Saranya, S. Saranya, & R. Cristin. (2017). Exposing Video Forgery Detection Using Intrinsic Fingerprint Traces 1 1, 2, 3 IEEE Access, 73–76.

2. Kelly, F. (2006). Fast probabilistic inference and GPU video processing [thesis], Trinity College (Dublin, Ireland). Department of Electronic & Electrical Engineering, p. 178.

3. Li J, He H, Man H, Desai S (2009) A general-purpose FPGA-based reconfigurable platform for video and image processing. In W. Yu, H. He, & N. Zhang (Eds.), Advances in neural networks—ISNN 2009. ISNN 2009. Lecture notes in computer science (Vol. 5553, Berlin: Springer).

4. H. T. Sen car, & N. Memon (2008). Overview of state-of-the-art in digital image forensics. Statistical Science and Interdisciplinary Research, 325–347.

5. Asok, D., Himanshu, C., & Sparsh, G. (2006). Detection of forgery in digital video. In 10th World Multi Conference on Systemics, Cybernetics and Informatics, pp. 16–19, Orlando. USA.

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