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  Published Paper Details:

  Paper Title

REAL TIME EFFICIENT FOREGROUND EXTRACTION WITH VIDEO PROCESSING

  Authors

  Mr. Pawan Arun Gawade,  Ms. Manali Pednekar,  Mr. Nitin Subhash Shingi

  Keywords

CTU, Background subtraction, HEVC, Dirichlet Process, Video surveillance etc.

  Abstract


Video analysis is giant supply of unstructured info nowadays. Introduction to HEVC normal has tremendous potential to lower the price of knowledge transfer and storage. HEVC provides forty % or over that of reduction in bit rate at a similar visual quality. wanting over drawback of restricted information measure it became necessary to compress video information. To compress {the information the info the information} abstraction and American state related data is removed. This causes compacted info to fill in as a key plus for machine learning with altogether less examples for getting ready. during this venture, an excellent thanks to contend with nearer read extraction/division is predicted abuse novel spatio-transient de-related piece alternatives taken foursquare through HEVC compressed video. Numerous techniques, in distinction, work on photos that square measure uncompressed providing important storage and machine resources not only for the decoding methodology before info. The planned approach has been quantitatively and qualitatively evaluated against mathematician mixture model.

  IJCRT's Publication Details

  Unique Identification Number - IJCRTF020014

  Paper ID - 210690

  Page Number(s) - 65-70

  Pubished in - Volume 9 | Issue 1 | January 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Mr. Pawan Arun Gawade,  Ms. Manali Pednekar,  Mr. Nitin Subhash Shingi,   "REAL TIME EFFICIENT FOREGROUND EXTRACTION WITH VIDEO PROCESSING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 1, pp.65-70, January 2021, Available at :http://www.ijcrt.org/papers/IJCRTF020014.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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