Souad CHAABOUNI
Souad Chaabouni collaborateur ()

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. 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, Jenny Benois-Pineau, Chokri Ben Amar. Transfer learning with deep networks for saliency prediction in natural vide. Image Processing (ICIP), 2016 IEEE International Conference on, Sep 2016, Phoenix, Arizona, United States. IEEE, IEEE International Conference on Image Processing (ICIP), pp.1604-1608, 2016, 2016 IEEE International Conference on Image Processing (ICIP)

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


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