Yao wang
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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

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Yao Wang

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Yao wang

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

    • [email protected]

  • More info at

    • http://eeweb.poly.edu/~yao

  • Research Overview


    Current research projects

    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

    Research Overview


    Peer driven on demand video streaming

    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

    Research Overview


    Dream it

    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 (sourcecoding, 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)

    Research Overview


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