- ISSN: 2287-4844 (Print), 2287-4852 (Online)
- Abbreviated Title: Prog. Intell. Comput. Appl.
- Frequency: Annually
- Editor-in-Chief: Dr. William Guo
- Executive Editor: Xian Zhang
- Published by: Australasian Professional Development and Academic Services (APDAS)(registered from Feb 2013)
- Indexed by: Google Scholar, Engineering & Technology Digital Library, Crossref, Proquest and DOAJ
- E-mail: pica@etpub.com
PICA 2017 Vol.6(1): 1-8 ISSN: 2287-4844 (Print); 2287-4852 (Online)
doi: 10.4156/pica.vol6.issue1.1
doi: 10.4156/pica.vol6.issue1.1
Review of Adult Image Detection Methods
Sasan Karamizadeh, Abouzar Arabsorkhi
Abstract: Nowadays, adult images and other such indecent matter are available on the social media and the Internet for children. Filtering of adult image has become one of the big changes for searches; they are tied to finding methods to filter adult images. Social media network is interested in filter adult images from normal ones. Analysis method uses the bright image to automatically detect and filter images in the media. In this paper, we have reviewed methods such as color based, shape based, local and global feature approach, deep learning and bag-of-words for filtering adult images which include comparing with the advantages and disadvantages.
Keywords: Internet, filtering, adult image, deep learning, shape based
The authors are with Iran Telecommunication Research Center, Tehran, Iran, s.karamizadeh@itrc.ac.ir
Keywords: Internet, filtering, adult image, deep learning, shape based
The authors are with Iran Telecommunication Research Center, Tehran, Iran, s.karamizadeh@itrc.ac.ir
Cite: Sasan Karamizadeh, Abouzar Arabsorkhi, "Review of Adult Image Detection Methods," Progress in Intelligent Computing and Applications, vol. 6, no. 1, pp. 1-8, December 2017.
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