Horror film genre typing and scene labeling via audio analysis
被引:0
作者:
Moncrieff, S
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机构:
Curtin Univ Technol, Dept Comp Sci, Perth, WA 6845, AustraliaCurtin Univ Technol, Dept Comp Sci, Perth, WA 6845, Australia
Moncrieff, S
[1
]
Venkatesh, S
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h-index: 0
机构:
Curtin Univ Technol, Dept Comp Sci, Perth, WA 6845, AustraliaCurtin Univ Technol, Dept Comp Sci, Perth, WA 6845, Australia
Venkatesh, S
[1
]
Dorai, C
论文数: 0引用数: 0
h-index: 0
机构:
Curtin Univ Technol, Dept Comp Sci, Perth, WA 6845, AustraliaCurtin Univ Technol, Dept Comp Sci, Perth, WA 6845, Australia
Dorai, C
[1
]
机构:
[1] Curtin Univ Technol, Dept Comp Sci, Perth, WA 6845, Australia
来源:
2003 INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOL II, PROCEEDINGS
|
2003年
关键词:
D O I:
暂无
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
We examine localised sound energy patterns, or events, that we associate with high level affect experienced with films. The study of sound energy events in conjunction with their intended affect enable the analysis of film at a higher conceptual level, such as genre. The various affect/emotional responses we investigate in this paper are brought about by well established patterns of sound energy dynamics employed in audio tracks of horror films. This allows the examination of the thematic content of the films in relation to horror elements. We analyse the frequency of sound energy and affect events at a film level as well as at a scene level, and propose measures. indicative of the film genre and scene content. Using 4 horror, and 2 non-horror movies as experimental data we establish a correlation between the sound energy event types and horrific thematic content within film, thus enabling an automated mechanism for genre typing and scene content labeling in film.