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A Real-Time System for Detecting Indecent Videos Based on Spatiotemporal Patterns

Authors
Jung, SoonhongYoun, JunsicSull, Sanghoon
Issue Date
11월-2014
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Indecent video; spatiotemporal pattern; periodic motion; spatiotemporal motion trajectory
Citation
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, v.60, no.4, pp.696 - 701
Indexed
SCIE
SCOPUS
Journal Title
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS
Volume
60
Number
4
Start Page
696
End Page
701
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/96905
DOI
10.1109/TCE.2014.7027345
ISSN
0098-3063
Abstract
In this paper, an efficient real-time system is proposed for detecting indecent video scenes, which usually contain periodically moving skin-colored objects. Spatiotemporal motion trajectories are efficiently extracted by the simple color-based region segmentation of a spatiotemporal pattern generated from an input video. By analyzing the vertical displacement of the spatiotemporal motion trajectory along the time axis of the spatiotemporal pattern, the trajectory is then converted to a one-dimensional (1D) signal. Feature vectors computed from the discrete Fourier transform (DFT) of the 1D signal and the colors near the spatiotemporal motion trajectory are used as the inputs for a classifier used to detect adult scenes. Experimental results show improvements in true positive and false alarm rates when compared to existing methods, and significantly reduced processing times(1).
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