©Yao Wang, 2004Research Overview1 Yao Wang Main Research Area –Multimedia signal processing –Image processing for biomedical applications –Presently focusing.

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©Yao Wang, 2004Research Overview1 Yao Wang Main Research Area –Multimedia signal processing –Image processing for biomedical applications –Presently focusing on video coding and transport over wireless networks and the Internet Image Processing Research Lab (LC220) Currently 5 full-time Ph.D students, 1 part time Course directors for EL512 (image processing), EL612 (video processing), EL514 (multimedia lab) Contact: –On sabbatical leave Fall’04, Spring’05. On campus occasionally More info at –

©Yao Wang, 2004Research Overview2 Current Research Projects Peer-driven on-demand video streaming –With Keith Ross, Shiv Panwar, supported by NSF Cooperative source and channel coding for wireless multimedia communication –With Elza Erkip, supported by NSF, Philips Research Video coding without motion compensation using a new 3D dual-tree wavelet –With Ivan Selesnick, supported by NSF, Mitsubishi Lab (MERL) Dynamically Reconfigurable Energy Aware Multimedia Information Terminals (DREAM-IT) –With David Goodman, Elza Erkip, Ramesh Karri, Dariusz Czarkowsky, supported by NSF, Philips Research Video transport over wireless adhoc networks –With Shiv Panwar, Supported by NSF

©Yao Wang, 2004Research Overview3 Peer-driven on-demand video streaming Conventional video-on-demand services use dedicated servers –Severs are very costly –Single point of failures –Hard to scale Peer driven: Use peers as streaming servers –Server Peers store and deliver video to client peers Challenge: –Peers can disconnect frequently without notice –Peers have limited uplink bandwidth Proposed solution –Code a video into multiple descriptions, store these in separate peer servers –A client streams all descriptions from separate servers When a peer disconnect, only a single description is affected before a replacement server is found

©Yao Wang, 2004Research Overview4 DREAM-IT Energy conservation is of paramount importance in designing wireless communication systems and devices –Reduced energy consumption = prolonged battery life Many components contribute to the total energy consumption in a wireless communication device –Baseband processing (source coding, channel coding, modulation), encryption, transmission, display and other computations on the mobile terminal Past Approach: hardware/software design of each component to minimize power consumption of each Our approach: adaptation of operating parameters of all components simultaneously to minimize total power consumption –We focus on adaptation of the source coding, channel coding, and transmission power (Joint work with David Goodman, Elza Erkip)