Technical Program

All times are in Alaska local time (AKDT/UTC−08:00)

Paper Detail

Paper IDSMR-1.10
Paper Title A Multi-task convolutional neural network for blind stereoscopic image quality assessment using naturalness analysis
Authors Salima Bourbia, LRIT, Mohammed V University, Morocco; Ayoub Karine, L@bISEN, Vision-AD Team, ISEN Yncrea, France; Aladine Chetouani, Laboratoire PRISME, Université d’Orléans, France; Mohammed El Hassouni, FLSH, Mohammed V University in Rabat, Morocco
SessionSMR-1: Image and Video Quality Assessment
TimeTuesday, 21 September, 13:30 - 15:00
Topic Image and Video Sensing, Modeling, and Representation: Perception and quality models for images & video
IEEE Xplore Open Preview  Click here to view in IEEE Xplore