Real-Time Networking: Data, Voice, and Video. Dan Schonfeld Multimedia Communications Laboratory ECE Department University of Illinois Chicago, Illinois. Multimedia Communications Laboratory Rashid Ansari Ashfaq Khokhar Dan Schonfeld Oliver Yu.
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Multimedia Communications Laboratory
University of Illinois
A Vision To The Future!Real-Time High-Quality Global Video Communications over High-Speed Networks
Video NetworkingVideo TrackingVideo Retrieval
Collaborators:Rashid Ansari (UIC)Bulent Cavusoglu (UIC)Tom DeFanti (UIC)Jason Leigh (UIC)Emir Mulabegovic (UIC)Oliver Yu (UIC)
Guaranteed & Controlled-Load
IP QoS Control
Network & Layer Management
IP / MPLS
Fiber/DWDMNext Generation Internet Architecture
MPEG-1 Header extension
MPEG-2 Header extension
Real-Time Transport Protocol (RTP)
(a) Static FEC
(b) Static IPB
PSNR = 18 dBms
PSNR = 33 dBms
CDMA-Based Admission & SchedulingQoS Control Over Wireless & Core Network
Slot Level SchedulerWireless MAC Protocols(Khokhar)
A typical ADSL equipment configuration.
(a) The Iridium satellites form six necklaces around the earth.
(b) 1628 moving cells cover the earth.
(a) Relaying in space.
(b) Relaying on the ground.
The 802.16 transmission environment.
Wired and Wireless
Circuit and Packet Switched Network Deployment
UCSDComputer Network Infrastructure
Interactive ToolsVisualization & Devices
Real Time Monitoring and Real Time Multimedia Retrieval and Sharing across the continent
Collaborators:Nidhal Bouaynaya (UIC)Karthik Hariharakrishnan (Motorola Research)Dan Lelescu (NTT DoCoMo Research)Josh Meir (NeoMagic)Magdi Mohamed (Motorola Research)Wei Qu (UIC)Philippe Raffy (R2 Technology)Fathy Yassa (NeoMagic)
VORTEX: Video Retrieval and Tracking from Compressed Multimedia Databases
The Dynamic Graphic Model for Multiple Interactive Objects In Two Frames
Collaborators:Faisal Bashir (UIC)Ashfaq Khokhar (UIC)Dan Lelescu (NTT DoCoMo Research)Fatih Porikli (Mitsubishi Research)
Figure: 1-Sigma contours of GMM’s learnt from three classes.
(a) ‘Norway’. (b) ‘Alive’. (c) ‘Crazy’.
HMM for Class 1
Training Set Database
Accuracy values for various class sizes from ASL data set and the HJSL dataset (last column). Column headings are shown as (number of classes:number of trajectories) for the ASL dataset at different sizes.
Figure: An example high jump trajectory and its translated, rotated and non-uniformly scaled version, along with their CSS images.
CSS Images of a Trajectory and its 36-degree rotated version