UNIGE document Chapitre d'actes
previous document  unige:78268  next document
add to browser collection
Title

Spectators' Synchronization Detection based on Manifold Representation of Physiological Signals: Application to Movie Highlights Detection
Authors
Muszynski, Michal
Kostoulas, Theodoros
Chanel, Guillaume
Lombardo, Patrizia
Pun, Thierry
Published in Proceedings of the 2015 ACM on International Conference on Multimodal Interaction. Seattle, USA - November 09 - 13, 2015 - . 2015
Abstract Detection of highlights in movies is a challenge for the affective understanding and implicit tagging of films. Under the hypothesis that synchronization of the reaction of spectators indicates such highlights, we define a synchronization measure between spectators that is capable of extracting movie highlights. The intuitive idea of our approach is to define (a) a parameterization of one spectator's physiological data on a manifold; (b) the synchronization measure between spectators as the Kolmogorov-Smirnov distance between local shape distributions of the underlying manifolds. We evaluate our approach using data collected in an experiment where the electro-dermal activity of spectators was recorded during the entire projection of a movie in a cinema. We compare our methodology with baseline synchronization measures, such as correlation, Spearman's rank correlation, mutual information, Kolmogorov-Smirnov distance. Results indicate that the proposed approach allows to accurately distinguish highlight from non-highlight scenes.
Keywords Synchronization — Physiological Signals — Affective Computing — Time Delay Embedding — Manifold Learning — Dimensionality Reduction — Diffusion Maps — Highlights Detection
Identifiers
ISBN: 978-1-4503-3912-4
Full text
Proceedings (Author postprint) (470 Kb) - public document Free access
Structures
Faculté des sciences / Département d'informatique
Centres et instituts / Centre universitaire d'informatique
Faculté des lettres / Département de langue et de littérature francaises modernes
Centres et instituts / Centre interfacultaire des sciences affectives
Research groups Affective sciences
Computer Vision and Multimedia Laboratory
Multimodal Interaction Group
Citation
(ISO format) 		MUSZYNSKI, Michal et al. Spectators' Synchronization Detection based on Manifold Representation of Physiological Signals: Application to Movie Highlights Detection. In: Proceedings of the 2015 ACM on International Conference on Multimodal Interaction. Seattle, USA. [s.l.] : [s.n.], 2015. doi: 10.1145/2818346.2820773 https://archive-ouverte.unige.ch/unige:78268

467 hits

161 downloads

Contact an author

Update request

Update

Deposited on : 2015-12-07

Export document
Format :
Citation style :