Pornography and child sexual abuse detection in image and video: A comparative evaluation

A Gangwar, E Fidalgo, E Alegre… - … international conference on …, 2017‏ - IET
With the growing amount of pornography content over Internet and cases of Child Sex
Abuse (CSA) material possession and distribution, there is a rising demand for automatic …

Video pornography detection through deep learning techniques and motion information

M Perez, S Avila, D Moreira, D Moraes, V Testoni… - Neurocomputing, 2017‏ - Elsevier
Recent literature has explored automated pornographic detection–a bold move to replace
humans in the tedious task of moderating online content. Unfortunately, on scenes with high …

Adult content detection in videos with convolutional and recurrent neural networks

J Wehrmann, GS Simões, RC Barros, VF Cavalcante - Neurocomputing, 2018‏ - Elsevier
The amount of adult content on the Internet grows daily. Much of the pornographic content is
unconstrained and freely-available for all users, requiring parents to make use of parental …

Pornography classification: The hidden clues in video space–time

D Moreira, S Avila, M Perez, D Moraes… - Forensic science …, 2016‏ - Elsevier
As web technologies and social networks become part of the general public's life, the
problem of automatically detecting pornography is into every parent's mind—nobody feels …

Pornographic image detection utilizing deep convolutional neural networks

F Nian, T Li, Y Wang, M Xu, J Wu - Neurocomputing, 2016‏ - Elsevier
Many internet users are potential victims of the pornographic images and a large part of
them are underage children. Thus, content-based pornographic images detection is an …

Index compression through document reordering

D Blandford, G Blelloch - Proceedings DCC 2002. Data …, 2002‏ - ieeexplore.ieee.org
An important concern in the design of search engines is the construction of an inverted
index. An inverted index, also called a concordance, contains a list of documents (or posting …

Measuring ewhoring

S Pastrana, A Hutchings, D Thomas… - Proceedings of the …, 2019‏ - dl.acm.org
eWhoring is the term used by offenders to refer to a type of online fraud in which cybersexual
encounters are simulated for financial gain. Perpetrators use social engineering techniques …

Pornographic image recognition via weighted multiple instance learning

X **, Y Wang, X Tan - IEEE transactions on cybernetics, 2018‏ - ieeexplore.ieee.org
In the era of Internet, recognizing pornographic images is of great significance for protecting
children's physical and mental health. However, this task is very challenging as the key …

A mid-level video representation based on binary descriptors: A case study for pornography detection

C Caetano, S Avila, WR Schwartz, SJF Guimarães… - Neurocomputing, 2016‏ - Elsevier
With the growing amount of inappropriate content on the Internet, such as pornography,
arises the need to detect and filter such material. The reason for this is given by the fact that …

Nude detection in video using bag-of-visual-features

APB Lopes, SEF de Avila, ANA Peixoto… - 2009 XXII Brazilian …, 2009‏ - ieeexplore.ieee.org
The ability to filter improper content from multimedia sources based on visual content has
important applications, since text-based filters are clearly insufficient against erroneous …