| Aims |
This module lays the theoretical foundation for graduate students to do research in multimedia: images, videos, audio, speech, graphics, etc. The module covers the main theoretical issues common to various multimedia research. These issues provide a general framework within which specific techniques in particular research areas can be understood.
The central theme of this module is data fitting, which includes two families of algorithms: approximation and interpolation. |
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| Objectives |
After taking this module, students will be well-grounded in the theoretical aspects of multimedia, as well as gain experience in solving practical media problems related to data and model fitting.
We aspire to help the students |
master problem solving |
& |
appreciate beauty of mathematics |
 |
|
 |
|
| Prerequisites |
Basic linear algebra, calculus, probability and statistics.
Background regarding images and 3D graphics models are useful but not absolutely necessary. |
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| Assessments |
| Assessment |
Individual
Weight |
Team
Weight |
| Online quizzes |
10% |
|
| Assignments |
15% |
|
| Team Project |
|
35% |
Participation
(project presentation) |
5% |
|
| Final Assessment (exam) |
35% |
|
| Total |
65% |
35% |
Final assessment (exam) is conducted on ???.
Self-study materials are not included in the assessments.
Please refer to LumiNUS CS5240 for more details. |
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| Lecturer |
A/Prof. Leow Wee Kheng
Email: leowwk@comp.nus.edu.sg
Office: AS6 #05-07
Office Hour: Tuesday 2-4pm |
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