Multimedia Security and Privacy
Multimedia security is a master course that will focus primarily on stochastic modelling techniques for watermarking digital content.
All relevant course information, slides and materials are on dokeos.
Lectures: Wednesday 14:00-16:00, A316-8, starting from February 18
Labwork (TP) : Friday 14:00-16:00, B314-315, starting from February 18
There will be no TP session on Feb 20.
- Classical approaches to security
- Modern multimedia security
- Elements of probability, statistics and classification
- Practical digital watermarking methods
- Content fingerprinting
- Main techniques for privacy protection
- A. K. Jain , Fundamentals of Digital Image Processing, Prentice-Hall, 1989.
- A. Bovik, Handbook of Image & Video Processing, Academic Press, 2000.
- H. Stark and J. W. Woods, Probability, Random Processes, and Estimation Theory for Engineers, Prentice-Hall, 1994.
- H. V. Poor, An Introduction to Signal Detection and Estimation, 2nd Ed., Springer-Verlag, 1994.
- M. Vetterli and J. Kovacevic, Wavelets and Subband Coding, Prentice-Hall, 1995.
- I.J. Cox, M.L. Miller, and J.A. Bloom, Digital Watermarking, Morgan Kaufmann Publishers, Inc., San Francisco, 2001.
- M. Barni, F. Bartolini, Watermarking Systems Engineering: Enabling Digital Assets Security and Other Applications, Marcel Dekker, 2004.
- D. MacKay, Information Theory, Inference, and Learning Algorithms, Cambrdige University Press, 2003. It is available online for free.
You must refresh your knowledge on probability and statistics prior to this class. Specifically on two-class bayes classification and the Neyman–Pearson lemma.
The labwork will be done in Matlab, or Python.