Illicit image detection : An MRF model based stochastic approach
- Authors: Islam, Mofakharul , Watters, Paul , Yearwood, John , Hussain, Mazher , Swarna, Lubaba
- Date: 2013
- Type: Text , Book chapter
- Relation: Innovations and Advances in Computer, Information, Systems Sciences, and Engineering p. 467-479
- Full Text:
- Reviewed:
- Description: The steady growth of the Internet, sophisticated digital image processing technology, the cheap availability of storage devices and surfer's ever-increasing interest on images have been contributing to make the Internet an unprecedented large image library. As a result, The Internet quickly became the principal medium for the distribution of pornographic content favouring pornography to become a drug of the millennium. With the arrival of GPRS mobile telephone technology, 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, driving us toward a new degree of complexity. In this paper, we propose a stochastic model based novel approach to investigate and implement a pornography detection technique towards a framework for automated detection of pornography based on contextual constraints that are representatives of actual pornographic activity. Compared to the results published in recent works, our proposed approach yields the highest accuracy in detection. © 2013 Springer Science+Business Media.
Illicit image detection using erotic pose estimation based on kinematic constraints
- Authors: Islam, Mofakharul , Watters, Paul , Yearwood, John , Hussain, Mazher , Swarna, Lubaba
- Date: 2013
- Type: Text , Book chapter
- Relation: Innovations and Advances in Computer, Information, Systems Sciences, and Engineering p. 481-495
- Full Text:
- Reviewed:
- Description: 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. © 2013 Springer Science+Business Media.