Spectators' synchronization Detection based on manifold representation of physiological signals: Application to movie highlights detection

This source preferred by Theodoros Kostoulas

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Authors: Muszynski, M., Kostoulas, T., Chanel, G., Lombardo, P. and Pun, T.

Editors: Zhang, Z., Cohen, P., Bohus, D., Horaud, R. and Meng, H.

http://dl.acm.org/citation.cfm?id=2818346

Journal: ICMI

Pages: 235-238

Publisher: ACM

ISBN: 978-1-4503-3912-4

This data was imported from Scopus:

Authors: Muszynski, M., Kostoulas, T., Chanel, G., Lombardo, P. and Pun, T.

Journal: ICMI 2015 - Proceedings of the 2015 ACM International Conference on Multimodal Interaction

Pages: 235-238

ISBN: 9781450339124

DOI: 10.1145/2818346.2820773

© 2015 ACM. 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.

The data on this page was last updated at 04:57 on May 24, 2019.