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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.
 
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.
 
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.
 
Lecturer
A/Prof. Leow Wee Kheng
Email: leowwk@comp.nus.edu.sg
Office: AS6 #05-07
Office Hour: Tuesday 2-4pm
 
10 July 2019