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News

April 9, 2015
Ph.D. defense in La Rochelle, FRANCE
December 11, 2014
October 17, 2014
July 4, 2014
April 10, 2014
Publication of contextual localization of comic characters - CIFED 2014 workshop in Nancy, FRANCE
March 21, 2014
Publication of an approach for non-closed speech balloon detection - ICDAR 2013 conference in Washington DC, USA
August 28, 2013
Publication of a method for speech balloon classification - GREC 2013 workshop in Bethlehem, USA
August 21, 2013
Presentation about comic books analysis techniques - IMP lab seminar in Osaka, JAPAN
March 1, 2013
February 19, 2013
January 18, 2013
January 12, 2013

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Business card

Christophe Rigaud Christophe Rigaud picture
Research engineer in computer science
Expert in document image analysis


Laboratoire L3i
Computer science department
Pôle Sciences & Technologies
University of La Rochelle
Avenue M. Crépeau
17042 La Rochelle
France

contact@christophe-rigaud.com

Main activities

Christophe Rigaud received a double European PhD degree in computer science from the University of La Rochelle (France) and the Autonomous University of Barcelona (Spain) in 2014. He did his research in the laboratory of computer science, image and interaction (L3i) of the University of La Rochelle, supervised by Jean-Christophe Burie, Jean-Marc Ogier and Dimosthenis Karatzas from the Center of Computer Vision (CVC) of the Autonomous University of Barcelona.
Previously, he obtained an engineering degree in Automation Control and Computer Engineering and a Research Masters degree in Mathematics and Applications at the Engineering school of the University of Angers, a License degree at the Institute of Technologies of Salon de Provence in 2008 and a Higher Technical Certificate in design of automated systems in Carpentras (Vaucluse, France) in 2005.
His current research interest is the analysis of comic book images using computer vision techniques. He aims to discover how to make a complete and automatic description of the image content, namely the position of the panels, speech balloons, text and comic characters. This information is stored in a knowledge base that can be, for instance, queried using keywords to find a particular panel (see video), a dialogue or a sequence of actions from a mass of digitized comic books. Other applications are under study such as panel per panel reading on smartphone or tablet, machine-assisted translation and speech synthesis.