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publication name Filtering of Inappropriate Video Content A Survey
Authors Eng. Mahmoud Mohammed Taha , Prof. Abdel Wahab Alsammak , Dr. Ahmed B.Zaky
year 2022
keywords Video filtering; Video analysis; Video classification
journal INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH & TECHNOLOGY (IJERT)
volume 11
issue 2
pages Not Available
publisher IJERT
Local/International International
Paper Link https://www.ijert.org/filtering-of-inappropriate-video-content-a-survey
Full paper download
Supplementary materials Not Available
Abstract

With the emergence of screened films, Video content classification has become ubiquitous. Television films and Internet sites films are a big source of violence that may psychologically hurt teenagers. Although recently, Deep learning video classification has been developed quickly, a Comprehensive survey is needed to summarize the previous work done in this field. Therefore, this survey paper shows the common methods used in video classification. We further discuss the importance of filtering sensitive content such as (pornography, violence, gory, etc.) because of the increasing consumption of films by people of all ages. Several real-world verdict cases are similar scenarios to films with many scenes of violence. As deep learning has shown big success in computer vision areas, researchers are giving it a lot of attention

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