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  Published Paper Details:

  Paper Title

DESKTOP BASED APPLICATION FOR CAPTIONING IMAGE AND VIDEO USING DEEP LEARNING

  Authors

  Fazilhaq Akhondzada

  Keywords

Caption, Image Caption, Video Caption, CNN, RNN, LSTM

  Abstract


Methodologies that depend on them Deep Learning has a lot of potential for applications that produce captions or a short summary for images and video frames automatically. In imaging technology, image and video captioning are mentally difficult challenges. Automated caption development for photos and videos for human being with different levels of vision impairment; Among the technology fields are automatic metadata production for videos and images that can be used by online services; robot vision systems; and many others.in The focus of this research is on the algorithmic overlap between images and videos discerption.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2105406

  Paper ID - 207093

  Page Number(s) - d599-d604

  Pubished in - Volume 9 | Issue 5 | May 2021

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Fazilhaq Akhondzada,   "DESKTOP BASED APPLICATION FOR CAPTIONING IMAGE AND VIDEO USING DEEP LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 5, pp.d599-d604, May 2021, Available at :http://www.ijcrt.org/papers/IJCRT2105406.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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