A deep learning-based approach for inappropriate content detection and classification of youtube videos
K Yousaf, T Nawaz - IEEE Access, 2022 - ieeexplore.ieee.org
The exponential growth of videos on YouTube has attracted billions of viewers among which
the majority belongs to a young demographic. Malicious uploaders also find this platform as …
the majority belongs to a young demographic. Malicious uploaders also find this platform as …
Video pornography detection through deep learning techniques and motion information
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 …
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
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 …
unconstrained and freely-available for all users, requiring parents to make use of parental …
Learning strategies for sensitive content detection
Currently, the volume of sensitive content on the Internet, such as pornography and child
pornography, and the amount of time that people spend online (especially children) have …
pornography, and the amount of time that people spend online (especially children) have …
A review of the gaps and opportunities of nudity and skin detection algorithmic research for the purpose of combating adolescent sexting behaviors
We present a comprehensive literature review of algorithmic or computational approaches to
detect nudity and/or skin that could be used as a means of preventing adolescent sexting …
detect nudity and/or skin that could be used as a means of preventing adolescent sexting …
Stealthy porn: Understanding real-world adversarial images for illicit online promotion
Recent years have witnessed the rapid progress in deep learning (DP), which also brings
their potential weaknesses to the spotlights of security and machine learning studies. With …
their potential weaknesses to the spotlights of security and machine learning studies. With …
Pornography classification: The hidden clues in video space–time
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 …
problem of automatically detecting pornography is into every parent's mind—nobody feels …
A fuzzy ontology and SVM–based Web content classification system
The volume of adult content on the world wide web is increasing rapidly. This makes an
automatic detection of adult content a more challenging task, when eliminating access to ill …
automatic detection of adult content a more challenging task, when eliminating access to ill …
An attention mechanism-based CNN-BiLSTM classification model for detection of inappropriate content in cartoon videos
K Yousaf, T Nawaz - Multimedia Tools and Applications, 2024 - Springer
This paper proposes a novel method that combines an ImageNet pretrained convolutional
neural network (CNN) with attention-based bidirectional long short-term memory (BiLSTM) …
neural network (CNN) with attention-based bidirectional long short-term memory (BiLSTM) …
Feature selection techniques for big data Analytics
Big data applications have tremendously increased due to technological developments.
However, processing such a large amount of data is challenging for machine learning …
However, processing such a large amount of data is challenging for machine learning …