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학술대회 Pornographic Video Detection with Convolutional Two-Stream Network Fusion
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저자
이원재, 김정학, 이남경
발행일
202010
출처
International Conference on Information and Communication Technology Convergence (ICTC) 2020, pp.1273-1275
DOI
https://dx.doi.org/10.1109/ICTC49870.2020.9289212
협약과제
20HH4600, 인공지능 기반 유해미디어(음란성) 분석·검출 시스템 개발, 이남경
초록
This paper describes a pornographic video detection system with convolutional two-stream network fusion. Both spatial and temporal information are utilized to detect obscenity in videos by fusing a spatial stream network and a temporal stream network. Each network is based on the 121-layered DenseNet. The input to the temporal stream network is stacked dense optical flows. 2D convolution and 2D global average pooling are applied for the two-stream network fusion.
KSP 제안 키워드
2D Convolution, Intrusion detection system(IDS), Optical Flow, Spatial and temporal, Stream network, Video detection, temporal information