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Pornographic cartoon video detection through deep neural networks

Despite the efficient solutions in pornography detection literature, specific solutions for sensitive content in cartoons have not been developed yet. In this work, we evaluate how state-of-the-art solutions for natural videos (with humans) perform in cartoons. Also, we propose a new method with hig...

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Bibliographic Details
Main Authors:	Ishikawa, Akari, de Avila, Sandra Eliza Fontes, Perez, Mauricio Lisboa
Format:	Online
Language:	English
Published:	Universidade Estadual de Campinas 2018
Subjects:	Deep learning Pornography classification Cartoons.
Online Access:	https://econtents.sbu.unicamp.br/eventos/index.php/pibic/article/view/65
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