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Video Content Verification System
Subject area: Science,Engineering and Technology · Area of research: Machine Learning
DOI: https://doi.org/10.64388/IREV9I3-1710526-059
Abstract
The primary objective of this project is to design a framework that fosters collaboration between humans and intelligent systems to guarantee the secure delivery of trusted video content across Social Media Networks (SMNs). The framework is built upon three core principles: User Trust Assignment ? Each user is allocated a trust score based on their past behaviour and activity history. Intelligent Content Agent ? A decision-making agent determines whether content should be automatically published, flagged for human review, or rejected. Video Integrity Verification ? Continuous monitoring ensures the authenticity and integrity of video files throughout the streaming process. By integrating these mechanisms, the framework enhances the overall trustworthiness of SMNs while also contributing to optimized capital expenditure and resource utilization.
How to cite this paper
@article{1710526,
author = {Kuchannagari Sathwika, K. Balakrishna Maruthiram},
title = {Video Content Verification System},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {9},
number = {3},
pages = {256-261},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1710526.pdf},
abstract = {The primary objective of this project is to design a framework that fosters collaboration between humans and intelligent systems to guarantee the secure delivery of trusted video content across Social Media Networks (SMNs). The framework is built upon three core principles: User Trust Assignment ? Each user is allocated a trust score based on their past behaviour and activity history. Intelligent Content Agent ? A decision-making agent determines whether content should be automatically published, flagged for human review, or rejected. Video Integrity Verification ? Continuous monitoring ensures the authenticity and integrity of video files throughout the streaming process. By integrating these mechanisms, the framework enhances the overall trustworthiness of SMNs while also contributing to optimized capital expenditure and resource utilization.},
month = {September},
doi = {https://doi.org/10.64388/IREV9I3-1710526-059}
}