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A Novel Video Genre Classification Algorithm by Keyframe Relevance

  • Jina VargheseEmail author
  • K. N. Ramachandran Nair
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 106)

Abstract

Video classification is one of the challenging areas in the current world. It is a necessary tool for systematic organization and efficient retrieval of videos from repositories. Generally, video classification is a complex operation since video is a composite media with different components. Here, we propose a novel and simple probabilistic approach to classify the videos, broadly into three major domains news, sports, and entertainment. The existence measures of respective scene types in video genres are the prominent factor used in the proposed approach for video classification. We have tested our work on some test videos like football, wedding, and news discussion videos and results sound well ....

Keywords

SBD (shot boundary detection) Key frame extraction Scene classification Video classification 

Notes

Acknowledgements

This work has been done as a part of Ph.D. programme of Author, funded by UGC MANF fellowship, Government of India.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Computer ScienceMahatma Gandhi UniversityKottayamIndia
  2. 2.ViswaJyothi College of Engineering and TechnologyVazhakulamIndia

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