Prediction of visual attention with deep CNN on artificially degraded videos for studies of attention of patients with Dementia
Autor: | CHAABOUNI, Souad, Benois-Pineau, Jenny, Tison, François, Ben Amar, Chokri, Zemmari, Akka |
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Přispěvatelé: | Benois-Pineau, Jenny, Laboratoire Bordelais de Recherche en Informatique (LaBRI), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), Service de neurologie [Bordeaux], CHU Bordeaux [Bordeaux]-Groupe hospitalier Pellegrin, Institut des Maladies Neurodégénératives [Bordeaux] (IMN), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS), École Nationale d'Ingénieurs de Sfax | National School of Engineers of Sfax (ENIS) |
Jazyk: | angličtina |
Rok vydání: | 2017 |
Předmět: |
[INFO.INFO-MM] Computer Science [cs]/Multimedia [cs.MM]
[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV] [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV] ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.3: Neural nets [INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM] [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV] ComputingMilieux_MISCELLANEOUS |
Zdroj: | Multimedia Tools and Applications Multimedia Tools and Applications, Springer Verlag, 2017 |
ISSN: | 1380-7501 1573-7721 |
Popis: | International audience |
Databáze: | OpenAIRE |
Externí odkaz: |