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Conference Paper Pornographic Video Detection with Convolutional Two-Stream Network Fusion
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Authors
Wonjae Lee, Junghak Kim, Nam Kyung Lee
Issue Date
2020-10
Citation
International Conference on Information and Communication Technology Convergence (ICTC) 2020, pp.1273-1275
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICTC49870.2020.9289212
Abstract
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 Keywords
2D Convolution, Detection Systems(IDS), Optical flow, Spatial and temporal, Stream network, Video Detection, temporal information