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A Survey on Video Summarization Techniques

by Tinumol Sebastian, Jiby J. Puthiyidam
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 132 - Number 13
Year of Publication: 2015
Authors: Tinumol Sebastian, Jiby J. Puthiyidam
10.5120/ijca2015907592

Tinumol Sebastian, Jiby J. Puthiyidam . A Survey on Video Summarization Techniques. International Journal of Computer Applications. 132, 13 ( December 2015), 30-32. DOI=10.5120/ijca2015907592

@article{ 10.5120/ijca2015907592,
author = { Tinumol Sebastian, Jiby J. Puthiyidam },
title = { A Survey on Video Summarization Techniques },
journal = { International Journal of Computer Applications },
issue_date = { December 2015 },
volume = { 132 },
number = { 13 },
month = { December },
year = { 2015 },
issn = { 0975-8887 },
pages = { 30-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume132/number13/23656-2015907592/ },
doi = { 10.5120/ijca2015907592 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:29:19.550004+05:30
%A Tinumol Sebastian
%A Jiby J. Puthiyidam
%T A Survey on Video Summarization Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 132
%N 13
%P 30-32
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Video summarization methods attempt to abstract the main occurrences, scenes, or objects in a clip in order to provide an easily interpreted synopsis. The main aim of Video summarization is to provide clear analysis of video by removing duplications and extracting key frames from the video. Video Summarization will divide the frames of the video into blocks and calculating the mean, variance, skew, kurtosis histogram of every block and comparing the same with the corresponding blocks of the next frame. There are many different methods used for Key frame extraction in video Summarization. Some important methods are compared. The frame with highest mean is selected as the key frame. The best method is selected based on the color distribution.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Video Summarization Frames video sequence key frame extraction mean variance Histogram skew.

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