Prediction of visual attention with deep CNN on artificially degraded videos for studies of attention of patients with Dementia

Souad Chaabouni (1) , Jenny Benois-Pineau (1) , François Tison (2, 3) , Chokri Ben Amar (4) , Akka Zemmari (1)

1 LaBRI - Laboratoire Bordelais de Recherche en Informatique
2 Service de neurologie [Bordeaux]
3 IMN - Institut des Maladies Neurodégénératives [Bordeaux]
4 ENIS - École Nationale d'Ingénieurs de Sfax | National School of Engineers of Sfax

Domaines: Multimédia [cs.MM]; Vision par ordinateur et reconnaissance de formes [cs.CV]; Traitement des images [eess.IV]

Souad Chaabouni, Jenny Benois-Pineau, François Tison, Chokri Ben Amar, Akka Zemmari. Prediction of visual attention with deep CNN on artificially degraded videos for studies of attention of patients with Dementia. Multimedia Tools and Applications, 2017. ⟨hal-01674982⟩