Výsledky vyhledávání - "CHAABOUNI, Souad"

Dissertation/ Thesis

Etude et prédiction d'attention visuelle avec les outils d'apprentissage profond en vue d'évaluation des patients atteints des maladies neuro-dégénératives

Autor: Chaabouni, Souad

Cette thèse est motivée par le diagnostic et l’évaluation des maladies neuro-dégénératives et dans le but de diagnostique sur la base de l’attention visuelle.Néanmoins, le dépistage à grande échelle de la population n’est possible que

Externí odkaz: http://www.theses.fr/2017BORD0768/document

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Report

Deep Learning for Saliency Prediction in Natural Video

Autor: Chaabouni, Souad, Benois-Pineau, Jenny, Hadar, Ofer, Amar, Chokri Ben

The purpose of this paper is the detection of salient areas in natural video by using the new deep learning techniques. Salient patches in video frames are predicted first. Then the predicted visual fixation maps are built upon them. We design the de

Externí odkaz: http://arxiv.org/abs/1604.08010

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Akademický článek

ChaboNet : Design of a deep CNN for prediction of visual saliency in natural video

Autor: Chaabouni, Souad, Benois-Pineau, Jenny, Ben Amar, Chokri

Publikováno v: In Journal of Visual Communication and Image Representation April 2019 60:79-93

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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

Publikováno v: Multimedia Tools and Applications
Multimedia Tools and Applications, Springer Verlag, 2017

International audience

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3acbbc118744b02a5dd2ccd463572585
https://hal.archives-ouvertes.fr/hal-01674982

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Deep saliency:prediction of interestingness in video with CNN

Autor: Chaabouni, Souad, Benois-Pineau, Jenny, Ben Amar, Chokri, Zemmari, Akka

Publikováno v: Visual Content Indexing and Retrieval with Psycho-Visual Models
Visual Content Indexing and Retrieval with Psycho-Visual Models, 2017

International audience; Deep Neural Networks have become winners in indexing of visual information. They have allowed achievement of better performances in the fundamental tasks of visual information indexing and retrieval such as image classificatio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a7a1bd6ab121604d3083d6365d13d190
https://hal.archives-ouvertes.fr/hal-01674938

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Conference

Transfer learning with deep networks for saliency prediction in natural video.

Autor: Chaabouni, Souad, Benois-Pineau, Jenny, Ben Amar, Chokri

Publikováno v: 2016 IEEE International Conference on Image Processing (ICIP); 2016, p1604-1608, 5p

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Conference

Prediction of visual attention with Deep CNN for studies of neurodegenerative diseases.

Autor: Chaabouni, Souad, Tison, Francois, Benois-Pineau, Jenny, Ben Amar, Chokri

Publikováno v: 2016 14th International Workshop on Content-Based Multimedia Indexing (CBMI); 2016, p1-6, 6p

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Conference

Particle swarm optimization for support vector clustering Separating hyper-plane of unlabeled data.

Autor: Chaabouni, Souad, Jammoussi, Salma, Benayed, Yassine

Publikováno v: 2013 5th International Conference on Modeling, Simulation & Applied Optimization (ICMSAO); 2013, p1-6, 6p

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Periodical

Prediction of visual saliency in video with deep CNNs

Autor: Tescher, Andrew G., Chaabouni, Souad, Benois-Pineau, Jenny, Hadar, Ofer

Publikováno v: Proceedings of SPIE; September 2016, Vol. 9971 Issue: 1 p99711Q-99711Q-14, 9871404p

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