Affect computing in film through sound energy dynamics

Moncrieff, Simon, Dorai, Chitra and Venkatesh, Svetha 2001, Affect computing in film through sound energy dynamics, in MULTIMEDIA 2001 : Proceedings of the ACM International Multimedia Conference and Exhibition, ACM, New York, N. Y., pp. 525-527, doi: 10.1145/500141.500231.

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Title Affect computing in film through sound energy dynamics
Author(s) Moncrieff, Simon
Dorai, Chitra
Venkatesh, SvethaORCID iD for Venkatesh, Svetha
Conference name ACM Multimedia Conference (2001 : Ottawa, Ont.)
Conference location Ottawa, Ont.
Conference dates 30 Sept. - 5 Oct. 2001
Title of proceedings MULTIMEDIA 2001 : Proceedings of the ACM International Multimedia Conference and Exhibition
Editor(s) [Unknown]
Publication date 2001
Conference series ACM Multimedia Conference
Start page 525
End page 527
Total pages 3
Publisher ACM
Place of publication New York, N. Y.
Keyword(s) algorithms
feature extraction
information retrieval
photographic films
speech analysis
speech recognition
Summary We 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.
ISBN 1581133944
Language eng
DOI 10.1145/500141.500231
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2001, ACM
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