Digital Video Processing
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.
Note: Credit will be granted for only one of 583, 483.
Prerequisites: 310 or equivalent.
Graduate course in the Electrical Engineering program administered by the Faculty of Graduate Studies.