UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 11
November-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2311579


Registration ID:
545516

Page Number

f665-f667

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Title

LEVERAGING MACHINE LEARNING FOR VIDEO MATCHING ON ONLINE PLATFORMS: A COMPREHENSIVE REVIEW AND ANALYSIS

Abstract

In recent years, the exponential growth of online video content has driven a significant need for efficient video matching techniques to address issues like copyright infringement, inappropriate content distribution, and digital piracy. This research paper offers an in-depth examination of the application of machine learning algorithms for video matching on digital platforms. We provide a comprehensive review of existing methodologies, covering both traditional approaches and cutting-edge deep learning techniques. Moreover, the paper explores various challenges inherent in video matching. Through extensive experimentation and analysis, we assess the performance of different machine learning models, focusing on their matching accuracy, resilience to content variations, and real-time processing capabilities. Additionally, the paper underscores the effectiveness of machine learning in meeting the complex demands of video matching on online platforms.

Key Words

LEVERAGING MACHINE LEARNING FOR VIDEO MATCHING ON ONLINE PLATFORMS: A COMPREHENSIVE REVIEW AND ANALYSIS

Cite This Article

"LEVERAGING MACHINE LEARNING FOR VIDEO MATCHING ON ONLINE PLATFORMS: A COMPREHENSIVE REVIEW AND ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 11, page no.f665-f667, November-2023, Available :http://www.jetir.org/papers/JETIR2311579.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"LEVERAGING MACHINE LEARNING FOR VIDEO MATCHING ON ONLINE PLATFORMS: A COMPREHENSIVE REVIEW AND ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 11, page no. ppf665-f667, November-2023, Available at : http://www.jetir.org/papers/JETIR2311579.pdf

Publication Details

Published Paper ID: JETIR2311579
Registration ID: 545516
Published In: Volume 10 | Issue 11 | Year November-2023
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.40680
Page No: f665-f667
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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