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Privacy Preservation By Design in Video Content Analysis: Framework Architecture, Algorithms and Impact Assessment PDF Print E-mail
Written by University of Reading   
Tuesday, 12 February 2013 14:38

VideoSense is organising a special session at the DSP 2013.

This special session seeks to open up new perspectives on ways and means whereby privacy-respecting compliance can best be aided through image processing and pattern recognition algorithms and techniques that enhance the privacy protection as an inherent property of the Video Content Analysis process.

The aim is to provide insights relating to the problems of automatic decision making in privacy-aware systems by examining the achievable accuracy of different State-of-the-Art signal processing, pattern recognition and ontology-based techniques and presenting new approaches to enhancing privacy protection capability of such systems as well as assessment of impacts of achievable automated privacy protection levels

Accordingly the proposed special session will also present new image processing and computer vision algorithms as well as frameworks and architectures to be used in privacy-respecting video analytics solutions.

Important Deadlines

Submission of full papers: March 1, 2013

Notification of Acceptance: April 1, 2013

Submission of camera-ready papers: May 1, 2013

Co-Chairs: Prof. Atta Badii, University of Reading, UK; Prof. Touradj Ebrahimi, EPFL, Professor Jean-Luc Dugelay EURECOM, Christian Fedorczak THALES, Diego Fernandez Vazquez ISDEFE, Dr Ivo Keller Technical University Berlin.

Programme Committee: Co-Chairs, Prof Ebroul Izquierdo, Professor Thomas Sikora, Mathieu Einig, Dr Pavel Korshunov, Dr Tomas Piatrik.

Last Updated on Wednesday, 20 February 2013 13:44