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A Mathematical Approach to Watermarking and Data Hiding 1:30 - 4:45 PM, 13 May, 2002 |
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| Presenter: | Pierre Moulin |
| 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. |
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About the presenter: |
Pierre Moulin is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign. His fields of professional interest are information theory, image and video processing, statistical signal processing and modeling, compression, and information hiding; and the application of multiresolution signal analysis, optimization theory, and fast algorithms to these areas. He has served as an Associate Editor for the IEEE Transactions on Information Theory and the Transactions on Image Processing. He is the recipient of a 1997 senior best paper award from the IEEE Signal Processing Society.
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