Proceedings of the 24th ACM International Conference on Multimedia 2016
DOI: 10.1145/2964284.2967229
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Synchronization among Groups of Spectators for Highlight Detection in Movies

Abstract: Detection of emotional and aesthetic highlights is a challenge for the affective understanding of movies. Our assumption is that synchronized spectators' physiological and behavioral reactions occur during these highlights. We propose to employ the periodicity score to capture synchronization among groups of spectators' signals. To uncover the periodicity score's capabilities, we compare it with baseline synchronization measures, such as the nonlinear interdependence and the windowed mutual information. The re… Show more

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Cited by 10 publications
(9 citation statements)
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References 23 publications
(25 reference statements)
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“…The observed results are in line with previous research in aesthetic highlights detection (Kostoulas et al, 2015a,b;Muszynski et al, 2016). Specifically, it is indicated that electrodermal activity and acceleration signals can be used for detecting some types of highlights, especially the ones of H1 and H2, where the use of special effects, lightening techniques, and music are expected to significantly affect the reactions of the spectators.…”
Section: Discussionsupporting
confidence: 91%
See 1 more Smart Citation
“…The observed results are in line with previous research in aesthetic highlights detection (Kostoulas et al, 2015a,b;Muszynski et al, 2016). Specifically, it is indicated that electrodermal activity and acceleration signals can be used for detecting some types of highlights, especially the ones of H1 and H2, where the use of special effects, lightening techniques, and music are expected to significantly affect the reactions of the spectators.…”
Section: Discussionsupporting
confidence: 91%
“…More recent work toward detecting aesthetic highlights in movies included the definition and estimation of a reaction profile for identifying and interpreting aesthetic moments (Kostoulas et al, 2015a), or the utilization of dynamic time warping algorithm for the estimation of the relative physiological and behavioral changes among different spectators exposed to artistic content (Kostoulas et al, 2015b). Other efforts toward identifying synchronization among multiple spectators had been focused in representing physiological signals on manifolds (Muszynski et al, 2015) or on applying periodicity score to measure synchronization among groups of spectators' signals that cannot be identified by other measures (Muszynski et al, 2016). Further, recent attempts which study the correlation of the emotional responses with the physiological signals in a group setting had indicated that some emotional experiences are shared in the social context (Golland et al, 2015), whereas others were focused on analyzing arousal values and galvanic skin response while movie watching (Li et al, 2015) or on the identification of the movie genre in a controlled environment (Ghaemmaghami et al, 2015).…”
Section: Related Workmentioning
confidence: 99%
“…For example, non-expert listeners can spontaneously perceive the patterns of coordination that musicians create together when improvising along a backing track; this perception influences listeners' explicit appreciation of the recordings aesthetic features 26 . Furthermore, the occurrence of spectators' synchronized behaviors and physiological reactions is linked to the presence of emotional and aesthetic highlights in a movie 27,28 . Despite these supporting results, no study has directly investigated the potential link between spectators' synchrony and their explicit ratings of the emotional intensity attributed to the shared artistic experience.…”
mentioning
confidence: 99%
“…To take into account that induced emotions are subjective, we included audience reaction based features, namely statistical features of physiological and behavioral reactions. Also, we assume that each person within a movie audience can display similar behaviors and have similar physiological responses when they are watching a movie together because [18], [50], [55], [56], [57]:…”
Section: Movie Audience Reaction Based Featuresmentioning
confidence: 99%