DocumentCode
2802613
Title
Characterization of movie genre based on music score
Author
Austin, Aida ; Moore, Elliot, II ; Gupta, Udit ; Chordia, Parag
Author_Institution
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Savannah, GA, USA
fYear
2010
fDate
14-19 March 2010
Firstpage
421
Lastpage
424
Abstract
While it is clear that the full emotional effect of a movie scene is carried through the successful interpretation of audio and visual information, music still carries a significant impact for interpretation of the director´s intent and style. The intent of this study was to provide a preliminary understanding on a new database for the impact of timbral and select rhythm features in characterizing the differences among movie genres based on their film scores. For this study, a database of film scores from 98 movies was collected containing instrumental (non-vocal) music from 25 romance, 25 drama, 23 horror, and 25 action movies. Both pair-wise genre classification and classification with all four genres was performed using support vector machines (SVM) in a ten-fold cross-validation test. The results of the study support the notion that high intensity movies (i.e., Action and Horror) have musical cues that are measurably different from the musical scores for movies with more measured expressions of emotion (i.e., Drama and Romance).
Keywords
music; statistical analysis; support vector machines; SVM; action movies; audio information interpretation; drama movies; film score; horror movies; movie genre characterization; movie scene emotional effect; rhythm features; romance movies; support vector machines; timbral features; visual information interpretation; Instruments; Layout; Motion pictures; Performance evaluation; Rhythm; Spatial databases; Support vector machine classification; Support vector machines; Testing; Visual databases; Movie Genre Classification; Music Emotion Analysis; Music Genre Classification; Music Information Retrieval;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location
Dallas, TX
ISSN
1520-6149
Print_ISBN
978-1-4244-4295-9
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2010.5495763
Filename
5495763
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