Decision of Image Harmfulness Using an Artificial Neural Network

Title & Authors
Decision of Image Harmfulness Using an Artificial Neural Network
Jang, Seok-Woo; Park, Young-Jae; Byun, Siwoo;

Abstract
Various types of multimedia contents have been widely spread and distributed with the Internet that is easy to use. Meanwhile, Multimedia contents can bright a social problem because juveniles can access such harmful contents easily through the Internet. This paper proposes a method to determine if an input image is harmful or not, using an neural network. The proposed method first detects a face region from an input image through MCT features. The method then extracts skin color regions using color features and obtains candidate nipple areas from the extracted skin regions. Subsequently, we determine if the input image is harmful, by filtering out non-nipple regions using the artificial neural network. Experimental results show that the proposed method can effectively determine the harmfulness of input images.
Keywords
Modified Census Transform;Filtering;Neural Network;Image Harmfulness;
Language
Korean
Cited by
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