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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM17515

USE OF PYTHON PROGRAMMING AND M.L. FOR EDITID VIDEO DETECTION

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM17515

Volume:

7 |

1 |

Jan 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AMKT

A. Mr.Mohit Kumar Tyagi

BMAK

B. Mr. Alok Kumar

CMRK

C. Mr. Ravindra Kumar

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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

Cite This Article

A. Mr.Mohit Kumar Tyagi, B. Mr. Alok Kumar, C. Mr. Ravindra Kumar, "USE OF PYTHON PROGRAMMING AND M.L. FOR EDITID VIDEO DETECTION," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 1, Jan 2023. https://doi.org/10.55041/IJSREM17515

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Publication Date

1/17/2023

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Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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