Synchromedia Laboratory for multimedia communication in telepresence

About Synchromedia Laboratory for multimedia communication in telepresence

Synchromedia Laboratory for multimedia communication in telepresence is a research group was founded in 1988 as a part of the Department of Automation Engineering at the École de téchnologie supérieure of University of Québec, with founding members from 4 University of Quebec institutions. Effective Mars 2005, the group has been awarded a $4 million CFI grant to build a Pan-Canadian Consortium. The group works on a wide diversity of pertinent research areas. It also consists of several professors, researchers and graduate students, as well as adjunct members from other departments and universities.

Synchromedia core theme consists in an intelligent and seamless integration of various perceptual modes of information that allows collaborative management and sharing of information, actions and behaviors beyond the mere multimedia teleconferencing and communication.

Rather than using a conventional Client/Server architecture, we adopt an advanced open overlay self-scaling network architecture based on distributed and virtualized resources and grid computing paradigm. This results in the integration of various perceptual modes of information, and enables remote access and sharing of resources, responsibilities and services in synchronous/asynchronous manner among geographically dispersed actors.
Synchromedia is active in a broad range of research fields :
- Sustainable Smart Computing
- Classification and Machine Learning

Website	http://www.synchromedia.ca/
Employees	11-50 employees View all Synchromedia Laboratory for multimedia communication in telepresence employees
Industry	Research
Headquarter	1100, Notre-Dame Street West, Montreal, Quebec H3C 1K3, CA
Founded	1988
Keywords	Cloud Computing, Telepresence, Machine Learning, Network Virtualization, Cloud Security, Document Processing, Intelligent Interfaces, Behavioral Learning, Computational Pattern Analysis, Sustainable &Environment Awareness, Traffic Modeling & Big Data Analytics