Dynamic Time Warping of Multimodal Signals for Detecting Highlights in Movies.

This source preferred by Theodoros Kostoulas

This data was imported from DBLP:

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

Editors: Chetouani, M., Varni, G., Salam, H., Hammal, Z. and Cohn, J.F.

https://doi.org/10.1145/2823513

Journal: INTERPERSONAL@ICMI

Pages: 35-40

Publisher: ACM

ISBN: 978-1-4503-3986-5

This data was imported from Scopus:

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

Journal: INTERPERSONAL 2015 - Proceedings of the 1st ACM Workshop on Modeling INTERPERsonal SynchrONy And infLuence, co-located with ICMI 2015

Pages: 35-40

ISBN: 9781450339865

DOI: 10.1145/2823513.2823515

© 2015 ACM. Affective computing has strong ties with literature and film studies, e.g. text sentiment analysis, affective tagging of movies. In this work we report on recent findings towards identifying highlights in movies on the basis of the synchronization of physiological and behavioral signals of people. The proposed architecture is utilizing dynamic time warping for measuring the distance among the multimodal signals of pairs of spectators. The reported results suggest that this distance can be indicative for the dynamics and existence of aesthetic moments in movies.

The data on this page was last updated at 04:56 on March 21, 2019.