Intelligent video surveillance: a review through deep learning techniques for crowd analysis

G Sreenu, S Durai - Journal of Big Data, 2019 - Springer
Big data applications are consuming most of the space in industry and research area.
Among the widespread examples of big data, the role of video streams from CCTV cameras …

Video scene analysis: an overview and challenges on deep learning algorithms

Q Abbas, MEA Ibrahim, MA Jaffar - Multimedia Tools and Applications, 2018 - Springer
Video scene analysis is a recent research topic due to its vital importance in many
applications such as real-time vehicle activity tracking, pedestrian detection, surveillance …

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 …

Web page classification: a survey of perspectives, gaps, and future directions

M Hashemi - Multimedia Tools and Applications, 2020 - Springer
The explosive growth of the amount of information on Internet has made Web page
classification essential for Web information management, retrieval, and integration, Web …

AttM-CNN: Attention and metric learning based CNN for pornography, age and Child Sexual Abuse (CSA) Detection in images

A Gangwar, V González-Castro, E Alegre, E Fidalgo - Neurocomputing, 2021 - Elsevier
Nowadays, the growing number of cases of possession and distribution of Child Sexual
Abuse (CSA) material pose a significant challenge for Law Enforcement Agencies (LEAs). In …

Bringing the kid back into youtube kids: Detecting inappropriate content on video streaming platforms

R Tahir, F Ahmed, H Saeed, S Ali, F Zaffar… - Proceedings of the 2019 …, 2019 - dl.acm.org
With the advent of child-centric content-sharing platforms, such as YouTube Kids, thousands
of children, from all age groups are consuming gigabytes of content on a daily basis. With …

Leveraging deep neural networks to fight child pornography in the age of social media

P Vitorino, S Avila, M Perez, A Rocha - Journal of Visual Communication …, 2018 - Elsevier
Over the past two decades, the nature of child pornography in terms of generation,
distribution and possession of images drastically changed, evolving from basically covert …

A survey on skin detection in colored images

S Naji, HA Jalab, SA Kareem - Artificial Intelligence Review, 2019 - Springer
Color is an efficient feature for object detection as it has the advantage of being invariant to
changes in scaling, rotation, and partial occlusion. Skin color detection is an essential …

Stealthy porn: Understanding real-world adversarial images for illicit online promotion

K Yuan, D Tang, X Liao, XF Wang… - … IEEE Symposium on …, 2019 - ieeexplore.ieee.org
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 …

SBMYv3: improved MobYOLOv3 a BAM attention‐based approach for obscene image and video detection

S Samal, YD Zhang, TR Gadekallu, R Nayak… - Expert …, 2023 - Wiley Online Library
Countless cybercrime instances have shown the need for detecting and blocking obscene
material from social media sites. Deep learning methods (DLMs) outperformed in …