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Mathematical challenges in multimedia compression and transmission research
Applied Math| Speaker: | Michaela van der Schaar, EE Dept, UC Davis |
| Location: | 693 Kerr |
| Start time: | Fri, Apr 16 2004, 4:10PM |
Description
Multimedia data will be streamed in the future over various access
networks to a multitude of devices with different resource capabilities.
Consequently, to enable ubiquitous communication, the transmitted
multimedia stream must frequently be tailored to fit the available
networking and computational resources, as well as the user preferences.
Scalable coding and streaming provides a simple, flexible and efficient
solution for ubiquitous communication by enabling on-the-fly adaptation
to the network and device characteristics.
In the first part of this talk I will present my current research on
Wavelet Video Coding that uses adaptive motion compensated temporal
filtering to achieve "true scalability", and is currently under
standardization in MPEG-21. I will also show video examples to
illustrate the ideas and show comparisons with alternative
state-of-the-art solutions. I will also discuss current challenges in
scalable video coding research. The second part of this talk will
discuss current challenges on wireless and peer-to-peer streaming
technologies and highlight the need for realistic models and efficient
optimization strategies.
The focus of this presentation will be on describing some of the
mathematical challenges involved in multimedia compression and
transmission research.
