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10.1109/CBMI.2009.21guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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Biometric Responses to Music-Rich Segments in Films: The CDVPlex

Published: 03 June 2009 Publication History

Abstract

Summarising or generating trailers for films or movies involves finding the highlights within those films, those segments where we become most afraid, happy, sad, annoyed, excited, etc. In this paper we explore three questions related to automatic detection of film highlights by measuring the physiological responses of viewers of those films. Firstly, whether emotional highlights can be detected through viewer biometrics, secondly whether individuals watching a film in a group experience similar emotional reactions as others in the group and thirdly whether the presence of music in a film correlates with the occurrence of emotional highlights. We analyse the results of an experiment known as the CDVPlex, where we monitored and recorded physiological reactions from people as they viewed films in a controlled cinema-like environment. A selection of films were manually annotated for the locations of their emotive contents. We then studied the physiological peaks identified among participants while viewing the same film and how these correlated with emotion tags and with music. We conclude that these are highly correlated and that music-rich segments of a film do act as a catalyst in stimulating viewer response, though we don't know what exact emotions the viewers were experiencing. The results of this work could impact the way in which we index movie content on PVRs for example, paying special significance to movie segments which are most likely to be highlights.

Cited By

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  • (2024)Heart and Soul: The Ethics of Biometric Capture in Immersive Artistic PerformanceProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642309(1-23)Online publication date: 11-May-2024
  • (2019)FAMOSPattern Analysis & Applications10.1007/s10044-017-0675-y22:2(683-701)Online publication date: 1-May-2019
  • (2015)Behavior Understanding for Arts and EntertainmentACM Transactions on Interactive Intelligent Systems10.1145/28172085:3(1-10)Online publication date: 23-Sep-2015
  • Show More Cited By

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Published In

cover image Guide Proceedings
CBMI '09: Proceedings of the 2009 Seventh International Workshop on Content-Based Multimedia Indexing
June 2009
263 pages
ISBN:9780769536620

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IEEE Computer Society

United States

Publication History

Published: 03 June 2009

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  1. Video summary
  2. emotion
  3. music

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Cited By

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  • (2024)Heart and Soul: The Ethics of Biometric Capture in Immersive Artistic PerformanceProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642309(1-23)Online publication date: 11-May-2024
  • (2019)FAMOSPattern Analysis & Applications10.1007/s10044-017-0675-y22:2(683-701)Online publication date: 1-May-2019
  • (2015)Behavior Understanding for Arts and EntertainmentACM Transactions on Interactive Intelligent Systems10.1145/28172085:3(1-10)Online publication date: 23-Sep-2015
  • (2015)Implicit video emotion tagging from audiences' facial expressionMultimedia Tools and Applications10.1007/s11042-013-1830-074:13(4679-4706)Online publication date: 1-Jun-2015
  • (2014)Hybrid video emotional tagging using users' EEG and video contentMultimedia Tools and Applications10.1007/s11042-013-1450-872:2(1257-1283)Online publication date: 1-Sep-2014
  • (2013)Predicting audience responses to movie content from electro-dermal activity signalsProceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing10.1145/2493432.2493508(707-716)Online publication date: 8-Sep-2013
  • (2013)Creative Applications of Human Behavior UnderstandingProceedings of 4th International Workshop on Human Behavior Understanding - Volume 821210.1007/978-3-319-02714-2_1(1-14)Online publication date: 22-Oct-2013
  • (2011)Researching emotionProceedings of the 2011 iConference10.1145/1940761.1940792(225-229)Online publication date: 8-Feb-2011
  • (2009)Using facial expressions and peripheral physiological signals as implicit indicators of topical relevanceProceedings of the 17th ACM international conference on Multimedia10.1145/1631272.1631336(461-470)Online publication date: 23-Oct-2009

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