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.
Authors
- G. Uma Maheswari
- R. Velayutham
Institutions
- Tirunelveli Medical College (IN)
- ASA College (US)
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
- 0.00