A survey of feature extraction techniques in content-based illicit image detection

• Main Authors: Yaghoubyan, S. H., Maarof, M. A., Zainal, A., Oghaz, M. M.
• Format: Article
• Language: English
• Published: Asian Research Publishing Network 2016
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/72544/1/SHadi2016_ASurveyofFeatureExtractionTechniques.pdf; http://eprints.utm.my/id/eprint/72544/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-84967334555&partnerID=40&md5=57c1a5f509f32b7b1ac397d9ff65bf3f
• Institution: Universiti Teknologi Malaysia

For many of today’s youngsters and children, the Internet, mobile phones and generally digital devices are integral part of their life and they can barely imagine their life without a social networking systems. Despite many advantages of the Internet, it is hard to neglect the Internet side effects in people life. Exposure to illicit images is very common among adolescent and children, with a variety of significant and often upsetting effects on their growth and thoughts. Thus, detecting and filtering illicit images is a hot and fast evolving topic in computer vision. In this research we tried to summarize the existing visual feature extraction techniques used for illicit image detection. Feature extraction can be separate into two subtechniques feature detection and description. This research presents the-state-of-the-art techniques in each group. The evaluation measurements and metrics used in other researches are summarized at the end of the paper. We hope that this research help the readers to better find the proper feature extraction technique or develop a robust and accurate visual feature extraction technique for illicit image detection and filtering purpose.