Cell Relay Archive

[Fu Li <fli@ee.pdx.edu>]

WWW: http://www.ee.pdx.edu/short_course/image_compression/

July 14 - 18, 1997, Portland, Oregon - A 4 and 1/2 Day Intensive Course on

Image and Video Compression: Fundamentals, Standards and Applications

Portland State University, P.O. Box 751 - EE
Portland, Oregon, USA  97207-0751

Phone:(503) 725-3806  Fax:(503) 725-3807  E-mail: eed@ee.pdx.edu

Presented by:

Majid Rabbani        M. Ibrahim Sezan           Thomas Gardos
Eastman Kodak        Sharp Labs. of America     Intel Corporation

************************ Course Outline ************************

Introduction
	Need for compression (application and product examples) 
	Statistical redundancy and perceptual irrelevancy, examples 
	Brief overview of image and video compression standards 
	Representation/transformation: the discrete cosine transform (DCT), 
	wavelets
	Quantization: Scalar uniform and nonuniform, entropy constrained, VQ
	Symbol modeling and encoding: entropy, Huffman, arithmetic, LZW, 
	Rice coding
	Emerging Technologies in Image Compression
	Wavelet compression (filterbank design, zerotree coding, comparisons 
	to JPEG)
	Fractal image compression

JPEG International Standard
	Lossless JPEG
	Baseline JPEG
	Extended JPEG features
	Enhancements to JPEG
	JPEG implementation issues

Fundamentals of Video Compression
	Motion Estimation
	Pre- and Post-Processing including motion-compensated noise 
	filtering, coding artifact reduction, video format conversion 
	(frame rate conver sion and de-interlacing).

Video Compression Standards\fR
	The MPEG1 standard
	The MPEG2 standard (including discussions on rate control, 
	bit-stream syntax and utilization in Digital Video Disk and 
	Advanced TV standardization).
	The H.261, H.263, and H.263+ standards.
	Video compression for Internet applications
	The MPEG4 standard (object based coding and object based 
	functionalities)
	The Future: MPEG7
	Examples of silicon and board-level implementations of standards. 
	PRODUCT DEMONSTRATIONS

For more information, please visit WWWW at URL:
http://www.ee.pdx.edu/short_course/image_compression/