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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.
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.

Basic linear algebra, calculus, probability and statistics.
Background regarding images and 3D graphics models are useful but not absolutely necessary.
Assessment Individual
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.
A/Prof. Leow Wee Kheng
Email: leowwk@comp.nus.edu.sg
Office: AS6 #05-07
6 Aug 2020