Course Outline for Digital Video Processing (EE392J)

Course Outline

• Introduction/Course Overview; Analog video 
• Spatio-temporal sampling; Sampling structure conversion (without using motion) 
• Motion Analysis
      Spatial-temporal constraint methods
      Block-matching methods
      Bayesian methods
      Region-based (parametric) motion modeling 
• Video Processing
      Motion-compensated (MC) filtering and noise reduction
      Signal recovery and general inverse problems
          Restoration (deblurring)
          Superresolution, Mosaicing
          Deinterlacing
      Frame-rate conversion (MC-Interpolation)
      Segmentation
      Object detection and tracking 
• 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
      Joint source/channel coding
      Video streaming and error-resilience
      Efficient processing of compressed video
      Video libraries and databases (MPEG-7)
      Digital TV