Nowadays, the field of visual information analysis becomes active more than ever because of the large availability of visual content in both personal and professional contexts. The targeted applications are numerous as for instance the medical imaging, security, manufacturing, etc. Algorithms are often expected to be computationally plausible, feasible and reliable. However, in the recent years, perception became an important aspect when developing imaging solutions. It has been proved that the incorporation of perceptual models helps in achieving better results. To this end, several perceptually inspired models have been proposed for visual saliency prediction, visual masking, contrast sensitivity, binocular fusion, to cite a few of them.
This special session organized under the flagship of IPTA 2015, aims at providing the most recent developments in the field of visual information analysis using perceptually driven or inspired algorithms. The topics of this special session are oriented towards the use of perceptual models/optimization in the framework of (not limited to):
Image and video compression
3D scene reconstruction and understanding
Quality assessment and enhancement
Image and video retrieval
Segmentation and pattern recognition
Multimedia content transmission
Computational color imaging
Prospective authors are encouraged to submit their unpublished work by providing a paper including results, figures and references following the rules of IPTA’2015.
Important dates:
Submission deadline May 15th, 2015
Notification of acceptance June 15th, 2015
Final Paper Submission June 30th, 2015
Special session chairs:
Chaker Larabi, XLIM – SIC, Université de Poitiers, France Cette adresse e-mail est protégée contre les robots spammeurs. Vous devez activer le JavaScript pour la visualiser.
Mohammed El Hassouni, LRIT URAC 29, Mohammed V University of Rabat, Morocco Cette adresse e-mail est protégée contre les robots spammeurs. Vous devez activer le JavaScript pour la visualiser.
Frédéric Morain-Nicolier, CRESTIC, Université de Reims-Champagne-Ardenne, France Cette adresse e-mail est protégée contre les robots spammeurs. Vous devez activer le JavaScript pour la visualiser.