| Aims |
This module lays the theoretical foundation for graduate students to do research in multimedia: images, 3D graphics models, videos, audio, music, 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. This module also covers a guided approach to problem solving, which includes problem formulation and algorithm design.
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.
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| 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 |
45% |
|
| Team Project |
|
35% |
| Participation |
10% |
|
| Total |
65% |
35% |
Please refer to LumiNUS CS5240 for more details.
COVID-19 Situation
Due to COVID-19, the lectures will be conducted online over zoom.
Moreover, final assessment is replaced by quizzes and additional assignments. |
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| Lecturer |
A/Prof. Leow Wee Kheng
Email: leowwk@comp.nus.edu.sg
Office: AS6 #05-07 |
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