Pornographic cartoon video detection through deep neural networks

Abstract

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 higher accuracy, showing that treating cartoons independently can improve sensitive content filtering.