Authenticating contrast and brightness adjusted images using distributed source coding and expectation maximization

Yao Chung Lin; David Varodayan; Torsten Fink; Erwin Betters; Bernd Girod

doi:10.1109/ICME.2008.4607509

Authenticating contrast and brightness adjusted images using distributed source coding and expectation maximization

Yao Chung Lin, David Varodayan, Torsten Fink, Erwin Betters, Bernd Girod

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Media authentication is important in content delivery via untrusted intermediaries, such as peer-to-peer (P2P) file sharing. Many differently encoded versions of a media file might exist. Our previous work applied distributed source coding not only to distinguish the legitimate diversity of encoded images from tampering but also localize the tampered regions in an image already deemed to be inauthentic. An authentication decoder was supplied with a Slepian-Wolf encoded image projection as authentication data. We extend our scheme to authenticate contrast and brightness adjusted images using an Expectation Maximization algorithm. Experimental results demonstrate that the proposed algorithm can distinguish legitimate encodings of authentic contrast and brightness adjusted images from illegitimately modified versions using authentication data of about 100 bytes.

Original language	English (US)
Title of host publication	2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings
Pages	613-616
Number of pages	4
DOIs	https://doi.org/10.1109/ICME.2008.4607509
State	Published - 2008
Event	2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Hannover, Germany Duration: Jun 23 2008 → Jun 26 2008

Publication series

Name	2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings

Other

Other	2008 IEEE International Conference on Multimedia and Expo, ICME 2008
Country	Germany
City	Hannover
Period	6/23/08 → 6/26/08

Keywords

Distributed source coding
Expectation Maximization
Image authentication

ASJC Scopus subject areas

Computer Graphics and Computer-Aided Design
Electrical and Electronic Engineering

Access to Document

10.1109/ICME.2008.4607509

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Lin, Y. C., Varodayan, D., Fink, T., Betters, E., & Girod, B. (2008). Authenticating contrast and brightness adjusted images using distributed source coding and expectation maximization. In 2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings (pp. 613-616). [4607509] (2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings). https://doi.org/10.1109/ICME.2008.4607509

Authenticating contrast and brightness adjusted images using distributed source coding and expectation maximization. / Lin, Yao Chung; Varodayan, David; Fink, Torsten; Betters, Erwin; Girod, Bernd.

2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings. 2008. p. 613-616 4607509 (2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lin, YC, Varodayan, D, Fink, T, Betters, E & Girod, B 2008, Authenticating contrast and brightness adjusted images using distributed source coding and expectation maximization. in 2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings., 4607509, 2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings, pp. 613-616, 2008 IEEE International Conference on Multimedia and Expo, ICME 2008, Hannover, Germany, 6/23/08. https://doi.org/10.1109/ICME.2008.4607509

Lin YC, Varodayan D, Fink T, Betters E, Girod B. Authenticating contrast and brightness adjusted images using distributed source coding and expectation maximization. In 2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings. 2008. p. 613-616. 4607509. (2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings). https://doi.org/10.1109/ICME.2008.4607509

Lin, Yao Chung ; Varodayan, David ; Fink, Torsten ; Betters, Erwin ; Girod, Bernd. / Authenticating contrast and brightness adjusted images using distributed source coding and expectation maximization. 2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings. 2008. pp. 613-616 (2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings).

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abstract = "Media authentication is important in content delivery via untrusted intermediaries, such as peer-to-peer (P2P) file sharing. Many differently encoded versions of a media file might exist. Our previous work applied distributed source coding not only to distinguish the legitimate diversity of encoded images from tampering but also localize the tampered regions in an image already deemed to be inauthentic. An authentication decoder was supplied with a Slepian-Wolf encoded image projection as authentication data. We extend our scheme to authenticate contrast and brightness adjusted images using an Expectation Maximization algorithm. Experimental results demonstrate that the proposed algorithm can distinguish legitimate encodings of authentic contrast and brightness adjusted images from illegitimately modified versions using authentication data of about 100 bytes.",

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AB - Media authentication is important in content delivery via untrusted intermediaries, such as peer-to-peer (P2P) file sharing. Many differently encoded versions of a media file might exist. Our previous work applied distributed source coding not only to distinguish the legitimate diversity of encoded images from tampering but also localize the tampered regions in an image already deemed to be inauthentic. An authentication decoder was supplied with a Slepian-Wolf encoded image projection as authentication data. We extend our scheme to authenticate contrast and brightness adjusted images using an Expectation Maximization algorithm. Experimental results demonstrate that the proposed algorithm can distinguish legitimate encodings of authentic contrast and brightness adjusted images from illegitimately modified versions using authentication data of about 100 bytes.

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Authenticating contrast and brightness adjusted images using distributed source coding and expectation maximization

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Keywords

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