🚀 go-pugleaf

Hi,

I would like to have a poll on courses to be offered in Spring 2000:

  18-796 Multimedia Communications: Coding, Systems, and Networking
  18-798 Image and Video Processing

Both courses seem to have reasonably high demand.  As much as we would
like to see both courses being offered regularly, due to resource
constraints, we may not be able to offer both courses in Spring 2000.

If you are interested in taking either of these two courses in Spring
2000, will you take 18-796, or 18-798?  Please email me with your
department/colleague, year, and undergrad/MS/PhD.  In a couple weeks we
will collect the responses and make a decision that fits most people.

Please also help me distribute this email to anyone who may be
interested in taking these courses.  Thanks very much.  I am looking
forward to hearing from many of you.

Tsuhan
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18-796 (Co)
Multimedia Communications: Coding, Systems, and Networking
Spring: 12 units
http://www.ece.cmu.edu/~ece796/
This course introduces technologies for multimedia communications. We
will address how to efficiently represent multimedia data, including
video, image, and audio, and how to deliver them over a variety of
networks. In the coding aspect, state-of-the-art compression
technologies will be presented. Emphasis will be given to a number of
standards, including H.26x, MPEG, and JPEG. In the networking aspect,
special considerations for sending multimedia over ATM, wireless, and IP
networks, such as error resilience and quality of service, will be
discussed. The H.32x series, standards for audiovisual communication
systems in various network environments, will be described. Current
research results in multimedia communications will be reviewed through
student seminars in the last weeks of the course. Prerequisite: 18-791
(Digital Signal Processing) and 36-217 (Probability) or equivalents.

18-798 (Co)
Image and Video Processing
Spring: 12 units
The course studies image processing, image understanding, and video
sequence analysis. Image processing deals with deterministic and
stochastic image digitization, enhancement. restoration, and
reconstruction. This includes image representation, image sampling,
image quantization, image transforms (e.g., DFT, DCT, Karhunen-Loeve),
stochastic image models (Gauss fields, Markov random fields, AR, ARMA)
and histogram modeling. Image understanding covers image
multiresolution, edge detection, shape analysis, texture analysis, and
recognition. This includes pyramids, wavelets, 2D shape description
through contour primitives, and deformable templates (e.g., 'snakes').
Video processing concentrates on motion analysis. This includes the
motion estimation methods, e.g., optical flow and block-based methods,
and motion segmentation. The course emphasizes experimenting with the
application of algorithms to real images and video. Students are
encouraged to apply the algorithms presented to problems in a variety of
application areas, e.g., synthetic aperture radar images, medical
images, entertainment video image, and video compression. 3 hrs. lec.
Prerequisites: 18-396 or equivalent, or permission of instructor.