Biometric Responses to Music-Rich Segments in Films: The CDVPlex

A. Smeaton, S. Rothwell
{"title":"Biometric Responses to Music-Rich Segments in Films: The CDVPlex","authors":"A. Smeaton, S. Rothwell","doi":"10.1109/CBMI.2009.21","DOIUrl":null,"url":null,"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.","PeriodicalId":417012,"journal":{"name":"2009 Seventh International Workshop on Content-Based Multimedia Indexing","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Seventh International Workshop on Content-Based Multimedia Indexing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CBMI.2009.21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 26

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
对电影中音乐丰富片段的生物识别反应:CDVPlex
为电影或电影总结或制作预告片需要找到这些电影中的亮点,即那些让我们感到最害怕、最快乐、最悲伤、最烦恼、最兴奋的片段。在本文中,我们通过测量这些电影观众的生理反应来探讨与电影亮点自动检测相关的三个问题。首先,情感亮点是否可以通过观众生物识别技术检测到;其次,在一个群体中观看电影的个人是否会经历与群体中其他人相似的情感反应;第三,电影中音乐的存在是否与情感亮点的发生相关。我们分析了一个名为CDVPlex的实验结果,在这个实验中,我们监测并记录了人们在一个类似电影院的受控环境中观看电影时的生理反应。一些影片被手工标注为它们的情感内容的位置。然后,我们研究了参与者在观看同一部电影时发现的生理高峰,以及这些高峰与情感标签和音乐的关系。我们得出的结论是,这两者是高度相关的,电影中音乐丰富的片段确实是刺激观众反应的催化剂,尽管我们不知道观众正在经历的确切情绪。这项工作的结果可能会影响我们在pvr上索引电影内容的方式,例如,对最有可能成为亮点的电影片段给予特殊的意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Motion Vector Based Moving Object Detection and Tracking in the MPEG Compressed Domain A Comparison of L_1 Norm and L_2 Norm Multiple Kernel SVMs in Image and Video Classification Monophony vs Polyphony: A New Method Based on Weibull Bivariate Models Kernel Discriminant Analysis Using Triangular Kernel for Semantic Scene Classification Biometric Responses to Music-Rich Segments in Films: The CDVPlex
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1