Analysis and Importance of Deep Learning for Video Aesthetic Assessments

Authors

  • Manish Bendale  Department of Computer Engineering, MIT, Pune, Maharashtra, India
  • Madhura V. Phatak  Department of Computer Engineering, MIT, Pune, Maharashtra, India
  • Dr. Nitin N. Pise  Department of Computer Engineering, MIT, Pune, Maharashtra, India

DOI:

https://doi.org/10.32628/CSEIT1951100

Keywords:

Video Aesthetics, Preprocessing Techniques, Feature Extraction, Deep Learning, Applications.

Abstract

Deep Learning is one of the active analysis topic obtaining a great deal of analysis attention recently. This increase in analysis interest is driven by several area as that are being worked on like machine-based reality finding, good over-seeing, sensory activity recognition, online learning, world of advertisement, text analysis and so on. Videos have specific characteristics that make their method unique. Visual aesthetic typically: Remember what they see, understand and learn rather than what they hear. This paper principally emphasizes deep learning on basics of automatic video aesthetic assessments.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-02-28

Issue

Volume 5, Issue 1, January-February-2019

Section

Research Articles

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How to Cite

[1]
Manish Bendale, Madhura V. Phatak, Dr. Nitin N. Pise, " Analysis and Importance of Deep Learning for Video Aesthetic Assessments" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 1, pp.546-554, January-February-2019. Available at doi : https://doi.org/10.32628/CSEIT1951100