Principal Investigator: Sujit Dey, PhD
Graduate Students:
Clark N. Taylor, Dong-Gi Lee
Project Summary
Motivation
With the growing popularity of new mobile multimedia applications such
as wireless internet access, wireless LANs and PANs, remote video telephony,
home networks, and sensor networks, there will be a growing demand for mobile
multimedia communication. However, due to the use of wireless channels during
communication, together with the widely varying application and user demands
and requirements, the nature of mobile multimedia communication is very
dynamic. One way to design for mobile multimedia communication is to implement
algorithms which are designed for the "worst case" conditions. However,
compared with a worst-case algorithms design, considerable bandwidth, energy,
latency, and other communication resources can be conserved by adapting to
current communication conditions and requirements. This project of the ESDAT
group is focused on developing algorithms which can adapt to current mobile
multimedia communication conditions and requirements in the most efficient
and low-cost way.
Approach
An important component in mobile multimedia communication is the source
coder. By modifying the source coder algorithms and parameters at run-time,
we can control the usage of communication resources such as:
- the wireless channel usage (bandwidth, latency),
- quality of multimedia data realized by the end user (image/video
quality),
- energy required for compressing and transmitting the image
Therefore, we are currently concentrating on modifying source coding
parameters and algorithms to enable mobile multimedia communication. In
the future, we will also be studying the interactions between the source
coder and other components of a mobile multimedia system to best enable
mobile multimedia communication.
Current Work
We have recently completed two projects demonstrating the effects of
source coding on mobile multimedia communication. We have developed adaptive
image coders based on the JPEG and AWIC algorithms. A study of the effect
of varying image coder parameters on wireless communication was carried
out. Algorithms which could select appropriate image coder parameters at
run-time were also developed. In the future, we will develop adaptive video
coding algorithms to adjust to current mobile multimedia communication conditions
and requirements. We will also further develop our adaptive image compression
algorithms to adapt to more effects in the wireless channel.
Energy/Latency/Image Quality Trade-offs in Enabling
Mobile Multimedia Communication, 12th Tyrrhenian Workshop on Digitial
Communications, CNIT, September 2000.
Adaptive Image Compression for Enabling Mobile Multimedia Communication,
in Proceedings, 2001 IEEE International Conference on Communication, June
2001.
Adaptive and Energy Efficient Wavelet Image Compression For Mobile
Multimedia Data Services, in Proc. IEEE International Conference on Communication,
April 2002. paper
Network-Aware Image Data Shaping for Low-Latency and Energy-Efficient
Data Services over the Palm Wireless Network, in Proc. World Wireless
Congress (3G Wireless), San Francisco, May 2003. paper
For any comments or questions, please contact Clark Taylor
Last modified on 6 Feb 2002.