Method and apparatus for content adaptation based on audience monitoring

V Shaw, S Dowlatkhah, Z Cui - US Patent 10,542,315, 2020 - Google Patents
US10542315B2 - Method and apparatus for content adaptation based on audience
monitoring - Google Patents US10542315B2 - Method and apparatus for content adaptation …

Facial expression recognition based on AAM–SIFT and adaptive regional weighting

F Ren, Z Huang - IEEJ Transactions on Electrical and Electronic …, 2015 - Wiley Online Library
The active appearance model (AAM), one of the most effective facial feature localization
methods, is widely used in frontal facial expression recognition. However, non‐frontal facial …

High-level geometry-based features of video modality for emotion prediction

R Weber, V Barrielle, C Soladié, R Séguier - Proceedings of the 6th …, 2016 - dl.acm.org
The automatic analysis of emotion remains a challenging task in unconstrained
experimental conditions. In this paper, we present our contribution to the 6th Audio/Visual …

Multi-label learning with prior knowledge for facial expression analysis

K Zhao, H Zhang, Z Ma, YZ Song, J Guo - Neurocomputing, 2015 - Elsevier
Facial expression is one of the most expressive ways to display human emotions. Facial
expression analysis (FEA) has been broadly studied in the past decades. In our daily life …

Unsupervised adaptation of a person-specific manifold of facial expressions

R Weber, V Barrielle, C Soladié… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In order to analyze expressions that are different from the prototypic expressions defined by
Ekman, manifold learning has been proposed to build person-specific continuous …

The many variations of emotion

V Vielzeuf, C Kervadec, S Pateux… - 2019 14th IEEE …, 2019 - ieeexplore.ieee.org
This paper presents a novel approach for changing facial expressions in images. Its strength
lies in its ability to map face images into a vector space in which users can easily control and …

The many moods of emotion

V Vielzeuf, C Kervadec, S Pateux, F Jurie - arXiv preprint arXiv …, 2018 - arxiv.org
This paper presents a novel approach to the facial expression generation problem. Building
upon the assumption of the psychological community that emotion is intrinsically continuous …

OCAE: Organization-controlled autoencoder for unsupervised speech emotion analysis

S Wang, C Soladié, R Séguier - 2019 5th International …, 2019 - ieeexplore.ieee.org
One of the severe obstacles to speech emotion analysis is the lack of reasonable labelled
speech signal. Thus, an important issue to be considered is applying an unsupervised …

Learning an Unsupervised and Interpretable Representation of Emotion from Speech

S Wang, C Soladié, R Séguier - … 2020, St. Petersburg, Russia, October 7 …, 2020 - Springer
One of the severe obstacles to naturalistic human affective computing is that emotions are
complex constructs with fuzzy boundaries and substantial individual variations. Thus, an …

Construction non supervisée d'un modèle expressif spécifique à la personne

R Weber - 2017 - theses.hal.science
L'analyse automatique des expressions faciales connaît un intérêt grandissant ces
dernières décennies du fait du large champ d'applications qu'elle peut servir. Un des …