Souad CHAABOUNI
Souad Chaabouni Doctorant ()

Équipe LaBRI : Image et Son
Fonction administrative :
Courrier électronique : souad.chaabouniarobaselabri.fr
Bureau : 327
Tél : +33 (0)5 40 00 69 37


Extrait de publications


Souad Chaabouni, Jenny Benois-Pineau, Chokri Ben Amar, Akka Zemmari. Deep saliency:prediction of interestingness in video with CNN. Visual Content Indexing and Retrieval with Psycho-Visual Models, 2017

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, Springer Verlag, 2017

Souad Chaabouni, Jenny Benois-Pineau, Ofer Hadar, Chokri Ben Amar. Deep Learning for Saliency Prediction in Natural Video. 2016

Souad Chaabouni, Jenny Benois-Pineau, Ofer Hadar. Prediction of visual saliency in video with deep CNNs. Andrew G. Tescher. SPIE Optical Engineering+ Applications, Aug 2016, San Diego, California, United States. Applications of Digital Image Processing, 9971, pp.99711Q-99711Q-14, 2016, Applications of Digital Image Processing XXXIX

Souad Chaabouni, François Tison, Jenny Benois-Pineau. Prediction of visual attention with Deep CNN for studies of neurodegenerative diseases. Content-Based Multimedia Indexing (CBMI), 2016 14th International Workshop on, Jun 2016, Bucharest, Romania. pp.1-6, 2016, International Workshop on Content-Based Multimedia Indexing


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