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Cluster Computing

, Volume 22, Supplement 3, pp 6913–6919 | Cite as

Implication of video summarization and editing of video based on human faces and objects using SURF (speeded up robust future)

  • S. Ashokkumar
  • A. Suresh
  • M. G. KavithaEmail author
Article
  • 129 Downloads

Abstract

Video editing reflects the mind of the viewers, summarizing those kinds of videos creates a great challenge. Several conventional methods have been used for video summarization. To comprehend the user initiated editing SURF is proposed. SURF accelerated based on image and object processing. Motion images pivoted on the images and the object folders, matched frames are successfully correlated into a video. Motivational aspect of SURF is to extend match videos for objects using Viola–Jones algorithm and detect the facial expression.

Keywords

Video summarization Viola–Jones SURF 

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Electronics and Communication EngineeringAnna UniversityChennaiIndia
  2. 2.Department of Electrical and Electronics EngineeringS.A Engineering CollegeChennaiIndia
  3. 3.Department of Computer Science and EngineeringUniversity College of Engineering PattukkottaiRajamadamIndia

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