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

被引：0
|
作者：
Lee, Sunghee [1 ]
Shin, Ilhong [1 ]
Lee, Namkyung [1 ]
机构：
[1] ETRI, Smart Media Intelligence Res Sect, Daejeon, South Korea
来源：
2020 IEEE INTERNATIONAL SYMPOSIUM ON BROADBAND MULTIMEDIA SYSTEMS AND BROADCASTING (BMSB) | 2020年
关键词：
AI based Streaming; Personal Broadcasting; Obscenity detection;
D O I：
10.1109/BMSB49480.2020.9379883
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
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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页数：2
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