Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Syntyche Gbèhounou"'
Autor:
Patrice Denis, Vincent Courboulay, Arnaud Revel, Syntyche Gbèhounou, François Lecellier, Christine Fernandez-Maloigne
Publikováno v:
EAI Endorsed Transactions on Creative Technologies, Vol 3, Iss 6, Pp 1-13 (2016)
With the Internet 2.0 era, managing user emotions is a problem that more and more actors are interested in. Historically, the first notions of emotion sharing were expressed and defined with emoticons. They allowed users to show their emotional statu
Externí odkaz:
https://doaj.org/article/fac75729f1c74e32bda6e25efee3d923
Autor:
Syntyche Gbèhounou
Publikováno v:
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 14, Iss 3 (2015)
The goal of my PhD was to propose an efficient approach for emotional impact recognition based on CBIR techniques (descriptors, image representation). The main idea relies in classifying images according to their emotion which can be "Negative", "Neu
Externí odkaz:
https://doaj.org/article/1c539ecb68344b4085e56074c99db395
Autor:
Huu Ton Le, Christine Fernandez-Maloigne, Jean Martinet, Syntyche Gbèhounou, Thierry Urruty, François Lecellier
Publikováno v:
Signal, Image and Video Processing
Signal, Image and Video Processing, Springer Verlag, 2017, 11 (2), pp.309-316. ⟨10.1007/s11760-016-0938-x⟩
Signal, Image and Video Processing, 2017, 11 (2), pp.309-316. ⟨10.1007/s11760-016-0938-x⟩
Signal, Image and Video Processing, Springer Verlag, 2017, 11 (2), pp.309-316. ⟨10.1007/s11760-016-0938-x⟩
Signal, Image and Video Processing, 2017, 11 (2), pp.309-316. ⟨10.1007/s11760-016-0938-x⟩
International audience; Content-based image retrieval systems are meant to retrieve the most similar images of a collection to a query image. One of the most well-known models widely applied for this task is the bag of visual words (BoVW) model. In t
Publikováno v:
Visual Content Indexing and Retrieval with Psycho-Visual Models
Visual Content Indexing and Retrieval with Psycho-Visual Models, Springer International Publishing, pp.75-101, 2017, ⟨10.1007/978-3-319-57687-9_4⟩
Visual Content Indexing and Retrieval with Psycho-Visual Models ISBN: 9783319576862
Visual Content Indexing and Retrieval with Psycho-Visual Models, Springer International Publishing, pp.75-101, 2017, ⟨10.1007/978-3-319-57687-9_4⟩
Visual Content Indexing and Retrieval with Psycho-Visual Models ISBN: 9783319576862
We propose in this chapter to highlight the impact of visual saliency information in Content Based Image Retrieval (CBIR) systems. We firstly present results of subjective evaluations for emotion analysis with and without use of saliency to reduce th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fbde37237af37b59d2c0877e7278f85
https://hal.archives-ouvertes.fr/hal-02515851
https://hal.archives-ouvertes.fr/hal-02515851
Publikováno v:
Journal of Visual Communication and Image Representation
Journal of Visual Communication and Image Representation, Elsevier, 2016, pp.8
Journal of Visual Communication and Image Representation, Elsevier, 2016, pp.8
Display Omitted We studied an emotion extraction based on image low level features on a new natural image database and on IAPS.We organized subjective evaluations on the new database and the emotions are described through their nature and their power
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66d8b205311048996e5514c0ac088629
https://hal.inria.fr/hal-01284984/document
https://hal.inria.fr/hal-01284984/document
Publikováno v:
Traitement du signal. 29:409-432
Cet article propose une methode d'extraction de l'impact emotionnel des images a partir de descripteurs recents. Tres souvent, on associe les emotions a l'expression du visage, mais nous avons decide de ne pas faire de cette information la principale
Publikováno v:
International Conference on Multimedia Retrieval
International Conference on Multimedia Retrieval, Jun 2015, Shanghai, China. ⟨10.1145/2671188.2749319⟩
ICMR
International Conference on Multimedia Retrieval, Jun 2015, Shanghai, China. ⟨10.1145/2671188.2749319⟩
ICMR
Content Based Image Retrieval (CBIR) systems retrieve the most similar images to a query image in a collection. One of the most popular models and widely applied in this task is the Bag of Visual Words model (BoVW). In this paper, we introduce an eva
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c826bff38b7e91627c12e56d5f376697
https://hal.archives-ouvertes.fr/hal-01287552
https://hal.archives-ouvertes.fr/hal-01287552
Publikováno v:
ICMR
ICMR 2014 ACM International Conference on Multimedia Retrieval
ICMR 2014 ACM International Conference on Multimedia Retrieval, Apr 2014, Glasgow, United Kingdom. ⟨10.1145/2578726.2578758⟩
ICMR 2014 ACM International Conference on Multimedia Retrieval
ICMR 2014 ACM International Conference on Multimedia Retrieval, Apr 2014, Glasgow, United Kingdom. ⟨10.1145/2578726.2578758⟩
International audience; In content based image retrieval, one of the most important step is the construction of image signatures. To do so, a part of state-of-the-art approaches propose to build a visual vocabulary. In this paper, we propose a new me
Publikováno v:
CAIP 2013-15th international conference on computer analysis of images and patterns
CAIP 2013-15th international conference on computer analysis of images and patterns, Aug 2013, York, United Kingdom. pp.515-522
Computer Analysis of Images and Patterns ISBN: 9783642402609
CAIP (1)
CAIP 2013-15th international conference on computer analysis of images and patterns, Aug 2013, York, United Kingdom. pp.515-522
Computer Analysis of Images and Patterns ISBN: 9783642402609
CAIP (1)
The salient regions of interest are supposed to contain the interesting keypoints for analysis and understanding. We studied in this paper the impact of image reduction to the region of interest on the emotion recognition. We chose a bottom-up visual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7f3b29ee6adb523d7cc369ba3ad0e1d
https://hal.archives-ouvertes.fr/hal-00853233
https://hal.archives-ouvertes.fr/hal-00853233
Publikováno v:
6th European Conference on Colour in Graphics, Imaging, and Vision
6th European Conference on Colour in Graphics, Imaging, and Vision, May 2012, Amsterdam, Netherlands. pp.314-319
6th European Conference on Colour in Graphics, Imaging, and Vision, May 2012, Amsterdam, Netherlands. pp.314-319
International audience; This paper proposes a method to extract the emotional impact of images. Emotions are often associated with facial expressions, but we decided consider other features as first emotional characteristic of natural images, which,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad281cc94b1bb7b510bc92a91b11d0cc
https://hal.archives-ouvertes.fr/hal-00863794/document
https://hal.archives-ouvertes.fr/hal-00863794/document