What is it about?
In this work, we have concentrated on establishing an efficient system for detecting inappropriate content on YouTube
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Why is it important?
To ensure a safe and pleasant user experience while watching content on YouTube, it is necessary to identify and classify inappropriate content, especially content that is inappropriate for children.
Perspectives
This article explains how to detect content in YouTube, and also , we have also proposed an automatic preprocessing scheme for selecting appropriate frames and removing unwanted frames such as noise and duplicate frames.to improve the system’s performance, we utilized the Proposed Feature Extraction (PFE) method, which includes two pre-trained models DenseNet121 and Inception V3 are utilized to extract local and global features from the frame. Finally, we employ a proposed double-branch recurrent network (PDBRNN) architecture, which includes bi-LSTM and GRU, to classify the video as appropriate or inappropriate. I thank my co-author.
Faheem Nikhat H
SRM University
Read the Original
This page is a summary of: Inappropriate YouTube content detection and classification by using proposed novel auto-determined k-means clustering and PDBRNN architecture, Journal of Intelligent & Fuzzy Systems, April 2024, IOS Press,
DOI: 10.3233/jifs-236871.
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Contributors
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