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Affect computing in film through sound energy dynamics
conference contribution
posted on 2001-01-01, 00:00 authored by S Moncrieff, C Dorai, Svetha VenkateshSvetha VenkateshWe develop an algorithm for the detection and classification of affective sound events underscored by specific patterns of sound energy dynamics. We relate the portrayal of these events to proposed high level affect or emotional coloring of the events. In this paper, four possible characteristic sound energy events are identified that convey well established meanings through their dynamics to portray and deliver certain affect, sentiment related to the horror film genre. Our algorithm is developed with the ultimate aim of automatically structuring sections of films that contain distinct shades of emotion related to horror themes for nonlinear media access and navigation. An average of 82% of the energy events, obtained from the analysis of the audio tracks of sections of four sample films corresponded correctly to the proposed affect. While the discrimination between certain sound energy event types was low, the algorithm correctly detected 71% of the occurrences of the sound energy events within audio tracks of the films analyzed, and thus forms a useful basis for determining affective scenes characteristic of horror in movies.
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ACM Multimedia Conference (2001 : Ottawa, Ont.)Pagination
525 - 527Publisher
ACMLocation
Ottawa, Ont.Place of publication
New York, N. Y.Publisher DOI
Start date
2001-09-30End date
2001-10-05ISBN-10
1581133944Language
engPublication classification
E1.1 Full written paper - refereedCopyright notice
2001, ACMTitle of proceedings
MULTIMEDIA 2001 : Proceedings of the ACM International Multimedia Conference and ExhibitionUsage metrics
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