Analysing user visual implicit feedback ...
Document type :
Communication dans un congrès avec actes
Title :
Analysing user visual implicit feedback in enhanced TV scenarios
Author(s) :
Bilasco, Ioan Marius [Auteur]
Université de Lille, Sciences et Technologies
FOX MIIRE [LIFL]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Lablack, Adel [Auteur]
FOX MIIRE [LIFL]
Dahmane, Afifa [Auteur]
Laboratoire de Recherche en Intelligence Artificielle [Alger] [LRIA]
FOX MIIRE [LIFL]
Danisman, Taner [Auteur]
FOX MIIRE [LIFL]
Université de Lille, Sciences et Technologies
FOX MIIRE [LIFL]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Lablack, Adel [Auteur]
FOX MIIRE [LIFL]
Dahmane, Afifa [Auteur]
Laboratoire de Recherche en Intelligence Artificielle [Alger] [LRIA]
FOX MIIRE [LIFL]
Danisman, Taner [Auteur]
FOX MIIRE [LIFL]
Conference title :
Spontaneous Facial Behavior Analysis - ECCV Workshop
City :
Zurich
Country :
Suisse
Start date of the conference :
2014-09-06
Publication date :
2014-09-06
English keyword(s) :
Facial expressions
Emotions
Moods
Global body movement
Head pose
Emotions
Moods
Global body movement
Head pose
HAL domain(s) :
Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]
English abstract : [en]
In this paper, we report on user behaviors by analyzing visual clues while users are watching various TV broadcast in pilot settings. We detail the first results of the empathic analysis of viewers watching four distinct ...
Show more >In this paper, we report on user behaviors by analyzing visual clues while users are watching various TV broadcast in pilot settings. We detail the first results of the empathic analysis of viewers watching four distinct videos in dedicated recording sessions. Viewers are sitting in front of a TV set in unconstrained position (free postures, free head poses and free body movements) on a chair and recorded by a regular webcam at both low and high resolutions. We have extracted metrics related to: head and global movement, changes in head orientation and facial expressions (happy, angry, surprise). We have conducted preliminary studies about how the extracted metrics can be employed in order to detect the interest, the amusement or the distraction of a viewer.Show less >
Show more >In this paper, we report on user behaviors by analyzing visual clues while users are watching various TV broadcast in pilot settings. We detail the first results of the empathic analysis of viewers watching four distinct videos in dedicated recording sessions. Viewers are sitting in front of a TV set in unconstrained position (free postures, free head poses and free body movements) on a chair and recorded by a regular webcam at both low and high resolutions. We have extracted metrics related to: head and global movement, changes in head orientation and facial expressions (happy, angry, surprise). We have conducted preliminary studies about how the extracted metrics can be employed in order to detect the interest, the amusement or the distraction of a viewer.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
Source :