aims to provide a comprehensive and rigorous treatment of the main
approaches in multimedia (document, image, video, graphics) analysis.
Three main themes are covered:
to covering the main approaches in multimedia analysis, this module
also aims to teach a rigorous approach to problem solving through the
theoretical treatment and practical illustration of the methods. This
balanced approach provides both a solid foundation and the necessary
practical tools for the students to effectively engage in multimedia
research. Moreover, the methods that they learn can extend well beyond
the domain of multimedia into other computer science areas. Such
application examples will also be highlighted in this module.
|After taking the module,
a student should be able to perform the following research tasks:
Write a formal statement of the definition of a multimedia analysis problem.
Apply one or more of the approaches to devise a method to solve the problem.
Develop performance indices that can be computed to measure the performance of the
method devised to solve the problem.
Evaluate and analyze the performance of the method.
We will focus mainly on images, 3D models, and videos.
Mathematics is an indispensable tool for multimedia analysis. Unfortunately, it has presented itself as a major obstacle for beginners in this exciting area. Our philosophy in teaching this module is
Our aim is
simple: Help the students understand and master the tools of
mathematics instead of confusing everybody with endless proofs.
Note that if you are a graduate student, you can still register for this module if you don't have the prerequisite. But, you are expected to be familiar with the materials covered in the prerequisite. If you are not familiar with them, then you should learn the materials yourself before taking this module.
be familiar with using either Matlab or C/C++ libraries for problem solving. Check resource webpage for a list of useful software and libraries.
| schedule, topics,
Here are some exciting projects that the students have completed in the past.
|It would be nice to have
a textbook. Unfortunately, nobody has written one on such wide ranging
topics. Conference and journal papers will constitute most of the
reading materials, and will be listed in the lecture notes.
Software, algorithms, libraries
|A/Prof. Leow Wee Kheng|
Last updated: 7 Jan 2009