Contact

Email: patrick (dot) lecallet (at) univ-nantes (dot) fr

Mail:

Phone: +33 (0)2 40 68 30 47

Biographical information

Patrick LE CALLET is currently full professor at  Ecole polytechnique de l’université de Nantes. He has teaching as an Assistant professor from 1997 to 1999 and as a full time lecturer from 1999 to 2003 at the department of Electrical engineering of Technical Institute of University of Nantes (IUT). Since 2003 is teaching at Ecole polytechnique de l’université de Nantes (Engineer School) in the Electrical Engineering and the Computer Science departments. 

In 1997, he joined the Image and VideoCommunication group at CNRS IRCCyN. Since 2006, he is the head of this group that includes 9 permanent professors, 16 post doc and phd students, 5 research engineers. 

He has coordinated and is currently managing for IRCCyN several National or European collaborative research programs representing grants of more than 3 millions US dollars (JEDI on 3DTV, HD4U on HDTV, Scalim@ges on H264 SVC, SVC4QoE on the scalability management using ad hoc quality assessment tools, Futurim@ges on HDR Image rendering and autosteroscopic TV, Safim@ges on content traceability over Internet, TSAR on storage and distribution of High Resolution cultural heritage paintings, Equimose on quality of experience related to medical Imaging and PACS systems). Moreover, he is supervising several research contracts with companies such as Orange labs or Thomson Corporate Research. 

Research activities and interests

Visual perception understanding

  • psychophysics
  • color perception
  • motion perception
  • medical imaging and visual perception

Visual attention modelling and applications

  • eyetracking 
  • visual attention models for still images, video and s-3D
  • ROI image and video coding
  • content reframing
  • visual attention and quality assessement

Image, video, and S-3D Quality assessment

  • FR, RR metrics for still images
  • FR, RR, NR metrics for video
  • methodologies for subjective assessment 
  • quality metrics for stereo images 
  • quality metrics for joint source channel coding

Data hiding

  • human vision models and data hiding applications
  • methodologies for invisibility checking and quality metrics