LATEST NEWS
Privacy protected surveillance research received NSERC Ideas to Innovation grant for commercialization.
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Three papers co-authored by Multimedia Laboratory researchers have been named "core research papers" in the area of "MACHINE LEARNING AND FACE RECOGNITION," by Thomson Citation Index.
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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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