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Audio-visual content-based violent scene characterization
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AUDIO-VISUAL CONTENT-BASED VIOLENT SCENE CHARACTERIZATION
Jeho Nam, Masoud Alghoniemy and Ahmed H. Tewk
Department of Electrical and Computer Engineering
University of Minnesota, Minneapolis, MN 55455, USA
e-mail: fjnam,masoud,tewkg@
ABSTRACT
We present a novel technique to characterize and index
violent scenes in general TV drama and movies. Our
goal is to identify violent signatures and localize vio-
lent events within a movie to support \high-level video
indexing. In particular, we exploit multiple \audio-
visual signatures to create a perceptual relation for
conceptually meaningful violent scene identication. Po-
tential applications are automatic blocking of violence
in movies watched by children, hiding violence using
data hiding or information ltering and genre classi-
cation of digital video database.
1. INTRODUCTION
Currently, almost all reported video indexing schemes
rely on low-level visual feature analysis. Regardless of
conceptual meanings, those schemes allow searching for
image/video containing visual characteristics similar to
those dened by a user, such as color, texture, motion,
sketch and shape of video objects [1]. These approaches
have achieved some success. However, they are limited
to a narrow denition of \content-based searching and
matching. Higher level features must be used to ad-
dress a general users desire to search for semantically
meaningful information. For instance, one may desire
to fast search and access time-localized specic events
of interest in a general lm such as \gunghts scene
in gangster or Western lms or \kissing scenes in ro-
mantic movies. Unlike the domain-specic applica-
tions, these kinds of events can be commonly found in
almost all lm genres. These semantic contents should
be suitably described by composition of multiple low-
level audio-visual features to link \high-level concepts
[2].
In this paper, we introduce a novel high-level index-
ing scheme to characterize and abstract violent c
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