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- W3137603461 abstract "In this paper, we propose a real-time mobile obscenity detection system for personal broadcasting. The proposed system inspects video frames in broadcast using a deep learning model and adaptively adjust inspection interval to detect obscenity quickly with low battery consumption." @default.
- W3137603461 created "2021-03-29" @default.
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- W3137603461 date "2020-10-27" @default.
- W3137603461 modified "2023-10-16" @default.
- W3137603461 title "Deep Learning based Real-time Mobile Obscenity Detection System for Personal Broadcasting" @default.
- W3137603461 cites W2792220137 @default.
- W3137603461 doi "https://doi.org/10.1109/bmsb49480.2020.9379883" @default.
- W3137603461 hasPublicationYear "2020" @default.
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