Kim Lecture Hall, Rm. 1110
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Booz Allen Hamilton Distinguished Colloquium in Electrical and Computer Engineering:
"Digital Fingerprinting for Multimedia Applications"
Dr. Min Wu
Associate Professor, Electrical and Computer Engineering, University of Maryland
November 21, 2008, 2:00 p.m.
Jeong H. Kim Engineering Building, Rm. 1110
The term "Digital Fingerprint" has been used by various sectors of our technical community to refer to several different classes of technologies related to the management and protection of multimedia information. In this talk, I will give an overview on three types of digital fingerprints that our Media and Security Team (MAST) at University of Maryland has researched on.
The first type of digital fingerprint addresses unauthorized leak and re-distribution of multimedia data. A unique signal or ID representing a receiving user is first embedded into the media data and then the fingerprinted content is distributed to the user. These track-and-trace fingerprints should be resilient to not only attacks mounted by an individual, but also attacks by multiple users, who work together to generate a new version to remove their fingerprints and circumvent the protection. Our research on anti-collusion fingerprinting finds applications ranging from military and government operations to piracy deterrence for copyrighted multimedia.
The second type of digital fingerprint provides a content-based compact representation of a media document. In addition to applications in content search and piracy identification accompanying the increasing popularity of YouTube/Google, properly secured content fingerprints also play an important role in content authentication and secure watermarking. I'll introduce our research for these applications.
Different from the above approaches that rely on proactive data embedding or attachment to provide security or forensic capability for digital information, the third type of fingerprints explores inherent traces left by the devices or processing systems a multimedia document has gone through. If time permits, I'll briefly introduce our work on employing such "intrinsic fingerprints" for non-intrusive forensic analysis to determine the origin and processing history of digital images.
Dr. Min Wu received the B.E. degree in electrical engineering and the B.A. degree in economics in 1996 from Tsinghua University in Beijing, China (both with the highest honors), and the Ph.D. degree in electrical engineering from Princeton University in 2001. Since 2001, she has been on the faculty of the Department of Electrical and Computer Engineering and the Institute of Advanced Computing Studies at University of Maryland, College Park, where she is currently an Associate Professor. Dr. Wu leads the Media and Security Team (MAST) at University of Maryland, with main research interests on information security and forensics and multimedia signal processing. She has co-authored two books and holds five U.S. patents on multimedia security and communications. She is a co-recipient of two Best Paper Awards from the IEEE Signal Processing Society and EURASIP, respectively. She also received an U.S. NSF CAREER award in 2002, a TR100 Young Innovator Award from the MIT Technology Review Magazine in 2004, a U.S. ONR Young Investigator Award in 2005, and a Computer World "40 Under 40" IT Innovator Award in 2007. She is currently serving as Area Editor of the IEEE Signal Processing Magazine for its "Inside Signal Processing E-Newsletter" and Associate Editor of the IEEE Transactions on Information Forensics and Security. http://www.ece.umd.edu/~minwu/
This Event is For: Campus • Clark School • All Students • Faculty • Corporate