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  Published Paper Details:

  Paper Title

SEMI-SUPERVISED IMAGE-TO-VIDEO ADAPTATION FOR VIDEO ACTION RECOGNITION

  Authors

  Prof. Bhavana R Maale,  Nikita Y

  Keywords

Video, Adaptation Approach, VA

  Abstract


Human understanding of behavior has been well studied in computer vision applications. Many popular methods of action recognition have shown that knowledge of action can be gained from motion videos or still images effectively. Many of the current methods for identifying video action suffer from the problem of missing appropriate labeled videos for instruction. In such cases, over-fitting will be a potential issue, and action recognition efficiency is limited. We suggest an adaptation approach to improve video action identification by tailoring image information. The adapted information is used to learn the meanings of associated behavior by examining the components of both branded videos and images. We propose an IVA classifier to achieve good output of video action recognition, which can borrow the information adapted from images based on the common visual features.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2008015

  Paper ID - 196753

  Page Number(s) - 101-104

  Pubished in - Volume 8 | Issue 8 | August 2020

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Prof. Bhavana R Maale,  Nikita Y,   "SEMI-SUPERVISED IMAGE-TO-VIDEO ADAPTATION FOR VIDEO ACTION RECOGNITION ", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 8, pp.101-104, August 2020, Available at :http://www.ijcrt.org/papers/IJCRT2008015.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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