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| Paper ID | SMR-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 | ||
| Session | SMR-1: Image and Video Quality Assessment | ||
| Time | Tuesday, 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 | ||