@inproceedings{6719ad349fc44cc1a8f4b72edec7ec54,
title = "Illicit image detection using erotic pose estimation based on kinematic constraints",
abstract = "With the advent of the Internet along with sophisticated digital image processing technology, the Internet quickly became the principal medium for the distribution of pornographic content favouring pornography to become a drug of the millennium. With the advent of GPRS mobile telephone networks, and with the large scale arrival of the 3G networks, along with the cheap availability of latest mobile sets and a variety of forms of wireless connections, the internet has already gone to mobile, drives us toward a new degree of complexity. The detection of pornography remains an important and significant research problem, since there is great potential to minimize harm to the community. In this paper, we propose a novel approach to investigate and implement a pornography detection technique towards a framework for automated detection of pornography based on most commonly found erotic poses. Compared to the results published in recent works, our proposed approach yields the highest accuracy in recognition.",
author = "Mofakharul Islam and Paul Watters and John Yearwood and Mazher Hussain and Swarna, {Lubaba A.}",
year = "2013",
doi = "10.1007/978-1-4614-3535-8_41",
language = "English",
isbn = "9781461435341",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer, Springer Nature",
pages = "481--495",
editor = "Khaled Elleithy and Tarek Sobh",
booktitle = "Innovations and advances in computer, information, systems sciences, and engineering",
address = "United States",
note = "7th International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering, CISSE 2011 ; Conference date: 03-12-2011 Through 12-12-2011",
}