VISION: a video and image dataset for source identification-Reference-Cited by-同舟云学术

VISION: a video and image dataset for source identification

Published:2017-10-03 Issue:1 Volume:2017 Page:
ISSN:2510-523X
Container-title:EURASIP Journal on Information Security
language:en
Short-container-title:EURASIP J. on Info. Security

Author:

Shullani Dasara,Fontani Marco,Iuliani Massimo,Shaya Omar Al,Piva Alessandro^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Signal Processing

Link

http://link.springer.com/content/pdf/10.1186/s13635-017-0067-2.pdf

Reference26 articles.

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2. A De Rosa, A Piva, M Fontani, M Iuliani, in 2014 International Carnahan Conference on Security Technology (ICCST). Investigating multimedia contents (IEEE, Rome, 2014), pp. 1–6.

3. A Piva, An overview on image forensics. ISRN Signal Proc. 2013:, 496701–22 (2013).

4. M Iuliani, M Fontani, D Shullani, A Piva, A hybrid approach to video source identification. arXiv:1705.01854[cs.MM] (2017).

5. J Lukas, J Fridrich, M Goljan, Digital camera identification from sensor pattern noise. IEEE Trans. Inf. Forensic Secur. 1(2), 205–214 (2006).

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