Video Tampering Detection Using Machine Learning and Deep Learning
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-35644-5_36
Reference20 articles.
1. Wang, W.: Digital video forensics (Doctoral dissertation, Dartmouth College Hanover, New Hampshire) (2009)
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3. Suhail, M.A., Obaidat, M.S.: Digital watermarking-based DCT and JPEG model. IEEE Trans. Instrum. Meas. 52(5), 1640–1647 (2003)
4. Di Martino, F., Sessa, S.: Fragile watermarking tamper detection with images compressed by fuzzy transform. Inf. Sci. 195, 62–90 (2012)
5. Chen, H., Chen, Z., Zeng, X., Fan, W., Xiong, Z.: A novel reversible semi-fragile watermarking algorithm of MPEG-4 video for content authentication. In: Intelligent Information Technology Application, 2008. IITA'08. Second International Symposium on, vol. 3, pp. 37–41. IEEE (2008)
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