A motion-based approach for real-time detection of pornographic content in videos

被引：0
|
作者：
Geremias, Jhonatan [1 ]
Viegas, Eduardo K. [1 ]
Britto, Alceu S. [1 ]
Santin, Altair O. [1 ]
机构：
[1] Pontifical Catholic University of Parana, Parana, Curitiba, Brazil
来源：
Proceedings of the ACM Symposium on Applied Computing | 2022年
关键词：
Engineering Village;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
'current - Content detection - Context dependent - Fine grained - Neural-networks - Pornography detections - Real-time detection - Video content detection - Video contents - Video frame
引用
收藏
页码：1066 / 1073
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