Research Journal of Science and Technology

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2349-2988 (Online)
0975-4393 (Print)


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Comparative analysis on video retrieval technique using machine learning

Author(s): S. Sasireka

Email(s): sasireka@bitsathy.ac.in

DOI: 10.5958/2349-2988.2019.00022.6

Address: S. Sasireka
Department of CSE, Bannari Amman Institute of Technology, Sathyamangalam, Tamilnadu, India 638401
*Corresponding Author

Published In:   Volume - 11,      Issue - 2,     Year - 2019


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Cite this article:
S. Sasireka. Comparative analysis on video retrieval technique using machine learning. Research J. Science and Tech. 2019; 11(2):148-154. doi: 10.5958/2349-2988.2019.00022.6

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DOI: 10.5958/2349-2988 

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Research Journal of Science and Technology (RJST) is an international, peer-reviewed journal, devoted to science and technology. The aim of RJST is to increase the impact of technological research both in academia and industry, with strong emphasis on quality and originality. RJST publishes Original Research Articles, Short Communications, Review Articles in all areas of Science and Technology.
Research Journal of Science and Technology (RJST) is published every year in last week of February, April, June, August, October and December from Raipur. From January 2013, is Quarterly and shall be published every year in last week of March, June, September and December.    
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