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Cluster Computing
Published in: Cluster Computing 3/2019

17-01-2018

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

Authors: S. Ashokkumar, A. Suresh, M. G. Kavitha

Published in: Cluster Computing | Special Issue 3/2019

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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.
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Metadata
Title
Implication of video summarization and editing of video based on human faces and objects using SURF (speeded up robust future)
Authors
S. Ashokkumar
A. Suresh
M. G. Kavitha
Publication date
17-01-2018
Publisher
Springer US
Published in
Cluster Computing / Issue Special Issue 3/2019
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-018-1729-7

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