Scalable Foveated Image and Video Communications
Mr. Zhou Wang
Electrical and Computer Engineering
The University of Texas at Austin
Austin, TX
Monday, November 26th, 11:00 AM, ENS 637
zwang@mail.utexas.edu
Abstract
The Human Visual System (HVS) is highly space-variant in sampling,
coding, processing and understanding. The spatial resolution of
the HVS is highest around the point of fixation (foveation point)
and decreases rapidly with increasing eccentricity. By taking
advantage of this fact, foveated image and video processing
systems remove considerable high frequency information redundancy
from the peripheral regions and still reconstruct perceptually
good quality images and video. Rate scalable image and video coding
algorithms allow extraction of coded visual information at varying bit rates
from a single
compressed bitstream. This feature is especially suited for visual
communications over heterogeneous, multi-user, dynamic and
interactive networks such as the Internet.
This research aims to solve several key problems in the design
of rate scalable foveated image and video communication
systems. In these systems, the encoded bitstream is ordered, so
that those bits with greater contribution in terms of a
foveation-based perceptual importance measurement are encoded and
transmitted first. The research work is conducted in three directions: 1)
Foveated visual sensitivity modeling and wavelet-based foveated image
quality assessment. 2) rate scalable foveated image coding. 3) rate
scalable foveated video coding.
Biography
Zhou Wang is currently a Ph.D. candidate and Research Assistant at the
Laboratory for Image and Video Engineering (LIVE) in the Department of
Electrical and Computer Engineering at the University of Texas at Austin. He
has a broad research interest including image and video processing, coding,
communication and quality assessment, computer vision, wavelets, fractals,
fuzzy technologies, and artificial neural networks.
A list of Telecommunications and Signal Processing Seminars is available at
from the ECE department Web pages under "Seminars".
The Web address for the Telecommunications and Signal Processing Seminars is
http://signal.ece.utexas.edu/seminars