Deep Learning based Real-time Mobile Obscenity Detection System for Personal Broadcasting

2020 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)（2020）

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摘要

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.

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关键词

AI based Streaming,Personal Broadcasting,Obscenity detection

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