Mathematical Aspects of Data Hiding
Mathematical Aspects of Data Hiding
Pierre Moulin
Presenter: Pierre Moulin, Associate Professor in the Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign
Short Course: pdf files
Host: Ken Zeger
Date: Friday, March 22, 2002
Time: 8:30AM to 3:00PM
Location: San Diego SuperComputer Center (SDSC) Auditorium, UCSD Campus, La Jolla
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Courtesy: California Institute for Telecommunications and Information Technology [Calit²]
Abstract: In this tutorial we will present some recent approaches to modeling watermarking and data hiding as communication problems. We first overview the data hiding problem (large payload) and show how one can model it as a channel coding problem with side information. We further describe how several popular data-hiding techniques fit into this model and describe their performance. We also review the watermarking problem (low payload) and present recent efforts to design watermarking algorithms based on fundamentals of detection theory, estimation theory, game theory, and information theory in general.
Bio: Pierre Moulin received his D.Sc. from Washington University in St. Louis in 1990. After working for five years as a Research Scientist
for Bell Communications Research in Morristown, New Jersey, he joined the University of Illinois, where he is currently an Associate Professor in the Department of Electrical and Computer Engineering, a Research Associate Professor in the Coordinated Science Laboratory, and a faculty member in the Beckman Institute's Image Formation and Processing Group. His fields of professional interest are image and video processing, statistical signal processing and modeling, nonparametric function estimation, information hiding, and signal authentication; and the application of multiresolution signal analysis, optimization theory, and fast algorithms to these areas.
In 1996-1998, he served as Associate Editor for the IEEE Transactions on Information Theory, and in 1999, he was co-chair of the IEEE Information Theory workshop on Detection, Estimation and Classification. He was a Guest Editor of the IEEE Transactions on Information Theory 2000 special issue on Information-Theoretic Imaging. He is currently an Associate Editor for the IEEE Transactions on Image Processing, a Guest Editor of the IEEE Transactions on Signal Processing's upcoming special issue on Data Hiding, and a member of the IEEE Image and Multidimensional Signal Processing (IMDSP) Society Technical Committee. He has received a 1997 Career award from the National Science Foundation, and the IEEE Signal Processing Society 1997 Best Paper award in the IMDSP area.
Questions: Please contact Leah Bellacera at 858-822-5793 or lbellace@ucsd.edu.
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