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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

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.