Multimedia Security and Privacy

Multimedia security is a master course that will focus primarily on stochastic modelling techniques for watermarking digital content.

In short

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.



Sviatoslav Voloshynovskiy 

Teaching Assistent

Maurits Diephuis

Course outline

  • Classical approaches to security
  • Modern multimedia security
  • Elements of probability, statistics and classification
  • Practical digital watermarking methods
  • Content fingerprinting
  • Biometrics
  • Main techniques for privacy protection

Supplementary Materials


  • 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.