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USE OF PYTHON PROGRAMMING AND M.L. FOR EDITID VIDEO DETECTION
A. Mr.Mohit Kumar Tyagi *1, B. Mr. Alok Kumar*2, C. Mr. Ravindra Kumar*3
*1 Assistant Professor, Department of Computer Application, Vivek College Of Education, Bijnor, India
*2 Assistant Professor, Department of Computer Application, Vivek College Of Education, Bijnor, India
*3 Assistant Professor, Department of Computer Application, Vivek College Of Education, Bijnor, India
ABSTRACT
Everyone now relies on various online social media sources because the internet is so widely used. Social Media video quickly spread among millions of users in a very short period of time along with the increase in the use of social Instagram, Facebook, Twitter, etc. Additionally, spammers use alluring video content to lure readers into clicking on their ads. You occasionally need to confirm the accuracy of information.
A new area of research that is receiving a lot of attention is edited video detection. Due to the limited resources, including datasets, processing, and analysis methods, it does, however, face some difficulties. In this work, we suggest a machine learning-based system for detecting edited video detection.
Keywords: tuples, matplotlib, sklearn, Vectorizer, Passive, Aggressive Classifier, list
