Browse DORAS
Browse Theses
Search
Latest Additions
Creative Commons License
Except where otherwise noted, content on this site is licensed for use under a:

Biometric responses to music-rich segments in films: the CDVPlex

Smeaton, Alan F. and Rothwell, Sandra (2009) Biometric responses to music-rich segments in films: the CDVPlex. In: CBMI 2009 - 7th International Workshop on Content Based Multimedia Indexing, 3-5 June 2009, Chania, Crete. ISBN 978-1-4244-4265-2

Full text available as:

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
1084Kb

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.

Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:Yes
Additional Information:alan.smeaton@dcu.ie; http://www.cbmi2009.org/
Uncontrolled Keywords:Emotion; movies;
Subjects:Computer Science > Information storage and retrieval systems
Computer Science > Digital video
Computer Science > Information retrieval
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
Publisher:Institute of Electrical and Electronics Engineers
Official URL:http://dx.doi.org/10.1109/CBMI.2009.21
Copyright Information:©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Funders:Science Foundation Ireland
ID Code:2475
Deposited On:12 Mar 2009 15:51 by Alan F. Smeaton. Last Modified 11 Aug 2009 12:30

Download statistics

Archive Staff Only: edit this record