Department of Electrical and Computer Engineering
ECE 583: Representation of digital video. Image formation models. Spatio-temporal sampling and sampling structure conversion. Two- and three-dimensional motion estimation techniques. Optical flow, block-based and pel-recursive methods for motion estimation. Still image and video compression methods and standards. Interface compression and model-based methods for video compression. Digital video systems and applications. Students are required to complete a project.
Click here for the Course Outline document.
Course Objectives
Introduction in the theory and practice of processing video signals.
Understanding the mathematical tools used in the analysis and processing of multidimensional signals.
Understanding video coding and video standards conversion.
Learning Outcomes
Apply multidimensional Fourier and z Transforms to analyse video signals.
Interpret the multidimensional sampling theorem using lattices.
Interpret video sampling and sampling rate conversion.
Use Motion Estimation and Motion Compensation for video frame prediction.
Demonstrate the foundations of hybrid video coding and illustrate the principles of video coding standards.
Illustrate the video standards conversion.
For the Midterm solutionClick here.
| Days | : Mondays and Thursdays | |
| Time | : 1:30pm - 2:30pm | |
| Location | : EOW 423 |
| Title | : Video Processing and Communications | |
| Authors | : Y. Wang, J.Ostermann and Y-Q. Zhang | |
| Publisher | : Prentice-Hall | |
| Year | : 2002 |
| Title | : MATLAB student Version | |
| Publisher | : The MathWorks | |
| See also | here |
| Assigntments | : 10% | |
| Project | : 15%, Due day of Final Exam. | |
| Mid-term | : 25%, Monday, March 2 | |
| Final | : 50% | |
| NOTE: Failure to complete the project requirements will result in a grade N. |
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Continously Modified: Jan-Apr, 2026