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Multimedia Lab

The Edward S. Rogers Dept. of Electrical and Computer Engineering

LATEST NEWS

September 29, 2011

Conference Proceedings from the 22nd IEEE Symposium on Personal, Indoor, Mobile and Radio Communications (PIMRC 2011) are available for the group under Resources PIMRC 2011

September 20, 2011:
ICIP2011 Conference Proceedings are available for the group under Resources ICIP 2011.
February 16, 2011:
Today Prof. Plataniotis hosted a group of 8 key US corporate delegates accompanied by Janice Mason, Canadian Embassy, Washington, D.C. and Mauricio Ospina, Government of Ontario.
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October, 2010:
Please be aware of the deadlines for the following conferences ,
ICASSP 2011
ICIP 2011
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Welcome to the Multimedia Laboratory

The Multimedia Laboratory at the University of Toronto, is part of the Communications Group at the Edward S. Rogers Sr. Department of Electrical and Computer Engineering. Our Laboratory has been at the forefront of the signal and image processing field. Specifically, research has been focused in the areas of biometric systems, secure and privacy enhancing multimedia solutions, nonlinear signal and image processing, multichannel image processing, morphological filters, neural networks and image and video coding.

Professor K. N. Plataniotis, Multimedia Lab Director

Project Highlights

Wireless Multi Input Multi Output (MIMO) Channel Simulation Package

The project aimed to provide a MATLAB software package for simulating wireless MIMO communication channels under practical assumptions. The final software provides an accurate simulation test bed which incorporates the effect of various pulse-shapes, fading models, noise structures, channel estimators, synchronization strategies, etc.
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Learning for Biometric Signal Recognition

Biometrics is an important component in security-related applications such as access control, forensic investigation, and identity fraud protection. We focused on the very important problem of feature extraction through subspace learning in biometric systems.
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Privacy Protected Surveillance Using Secure Visual Object Coding

The Secure Shape and Texture Set Partitioning in Hierarchical Trees (SecST-SPIHT) secure visual object coder allows individual, arbitrarily shaped objects to be efficiently coded (compressed) and encrypted. We use this in surveillance applications to protect the privacy of individuals appearing in the surveillance footage.
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