NDLI: Affective Characterization of Movie Scenes Based on Multimedia Content Analysis and User's Physiological Emotional Responses

Content Provider	IEEE Xplore Digital Library
Author	Soleymani, M. Chanel, G. Kierkels, J. Pun, T.
Copyright Year	2008
Description	Author affiliation: Comput. Vision & Multimedia Lab., Comput. Sci. Dept., Univ. of Geneva, Geneva (Soleymani, M.; Chanel, G.; Kierkels, J.; Pun, T.)
Abstract	In this paper, we propose an approach for affective representation of movie scenes based on the emotions that are actually felt by spectators. Such a representation can be used for characterizing the emotional content of video clips for e.g. affective video indexing and retrieval, neuromarketing studies, etc. A dataset of 64 different scenes from eight movies was shown to eight participants. While watching these clips, their physiological responses were recorded. The participants were also asked to self-assess their felt emotional arousal and valence for each scene. In addition, content-based audio- and video-based features were extracted from the movie scenes in order to characterize each one. Degrees of arousal and valence were estimated by a linear combination of features from physiological signals, as well as by a linear combination of content-based features. We showed that a significant correlation exists between arousal/valence provided by the spectator's self-assessments, and affective grades obtained automatically from either physiological responses or from audio-video features. This demonstrates the ability of using multimedia features and physiological responses to predict the expected affect of the user in response to the emotional video content.
Starting Page	228
Ending Page	235
File Size	307606
Page Count	8
File Format	PDF
ISBN	9780769534541
DOI	10.1109/ISM.2008.14
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-15
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Motion pictures Layout Indexing Biomedical monitoring Content based retrieval Feature extraction Multimedia computing Signal analysis Skin Facial muscles physiological signals analysis Multimedia indexing and retrieval affective personalization and characterization emotion recognition and assessment affective computing
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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