Title
Authenticating cropped and resized images using distributed source coding and expectation maximization
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. The authentication data supplied to the decoder consisted of a Slepian-Wolf encoded image projection. We extend our scheme to authenticate cropped and resized images using an Expectation Maximization al- gorithm. Experimental results demonstrate that the proposed algorithm can distinguish legitimate encodings of authentic cropped and resized images from illegitimately modified versions using authentication data of less than 250 bytes.
Year
DOI
Venue
2009
10.1117/12.805538
Media Forensics and Security
Keywords
Field
DocType
distributed source coding,expectation maximization,image authentication,p2p,data compression,file sharing
Byte,Computer vision,Authentication,Source code,Computer science,Artificial intelligence,Distributed source coding,Decoding methods,File sharing,Data compression,Encoding (memory)
Conference
Citations 
PageRank 
References 
0
0.34
15
Authors
3
Name
Order
Citations
PageRank
Yao-chung Lin111911.14
David P. Varodayan251332.71
Bernd Girod389881062.96