Next-Gen AI: AutoML-Powered Video Filtering for Ultimate Content Accuracy

Social media plays a crucial role in daily life, offering both advantages and negative impacts on society. While it enables the rapid transfer of information, service providers often prioritize sensational content without considering its societal consequences, leading to privacy concerns and the spread of inappropriate videos containing violence, horror, and other harmful material. To address this issue, content providers and users are adopting various filtering tools and techniques. Our proposed system introduces an advanced application integrated with AutoML technology to analyze video content using image analysis. The system effectively detects and filters inappropriate content by leveraging FFmpeg software, ensuring a safer and more responsible media consumption experience.

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Publication Details

Published
2025-08-07
DOI
https://doi.org/10.1109/iccpct65132.2025.11176564
Primary Topic
Machine Learning and Data Classification
Type
article
Field-Weighted Citation Impact
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article

Next-Gen AI: AutoML-Powered Video Filtering for Ultimate Content Accuracy

G. Uma Maheswari, R. Velayutham
Machine Learning and Data Classification
article

Next-Gen AI: AutoML-Powered Video Filtering for Ultimate Content Accuracy

G. Uma Maheswari, R. Velayutham
article en

Abstract

Social media plays a crucial role in daily life, offering both advantages and negative impacts on society. While it enables the rapid transfer of information, service providers often prioritize sensational content without considering its societal consequences, leading to privacy concerns and the spread of inappropriate videos containing violence, horror, and other harmful material. To address this issue, content providers and users are adopting various filtering tools and techniques. Our proposed system introduces an advanced application integrated with AutoML technology to analyze video content using image analysis. The system effectively detects and filters inappropriate content by leveraging FFmpeg software, ensuring a safer and more responsible media consumption experience.

Tirunelveli Medical College (IN), ASA College (US)
Openalex Percentile: Top 85%
Machine Learning and Data Classification
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