Course Outline for Digital Video Processing (EE392J)
Winter Quarter, 2004
Instructors: John Apostolopoulos and Susie Wee
Course Outline
Introduction/Course Overview
Analog video and NTSC television
Spatio-temporal sampling; Sampling structure conversion (without using motion)
Motion Analysis
Real versus apparent motion
Spatial-temporal constraint methods (optical flow equation)
Block-matching methods
Mesh-based methods
Region-based (parametric) motion modeling
Motion segmentation and layered video representations
Video Processing
Motion-compensated (MC) filtering
Noise reduction
Signal recovery and general inverse problems
Restoration (deblurring)
Superresolution, Mosaicing
Deinterlacing
Frame-rate conversion (MC-Interpolation)
Video Watermarking
Video Compression
Frame-based compression (principles behind MPEG-1/2)
Scalable or layered frame-based compression
Object-based compression (principles behind MPEG-4)
Video communication
Video streaming and error-resilience
Efficient processing of compressed video
Digital TV
Last Updated:
January, 2004