Shot Boundary Detection Using Octagon Square Search Pattern
Main Authors: | J. Kavitha, S. Sowmyayani, P. Arockia Jansi Rani |
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Format: | Article Journal |
Bahasa: | eng |
Terbitan: |
, 2016
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Subjects: | |
Online Access: |
https://zenodo.org/record/1128083 |
ctrlnum |
1128083 |
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fullrecord |
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><creator>J. Kavitha</creator><creator>S. Sowmyayani</creator><creator>P. Arockia Jansi Rani</creator><date>2016-11-03</date><description>In this paper, a shot boundary detection method is presented using octagon square search pattern. The color, edge, motion and texture features of each frame are extracted and used in shot boundary detection. The motion feature is extracted using octagon square search pattern. Then, the transition detection method is capable of detecting the shot or non-shot boundaries in the video using the feature weight values. Experimental results are evaluated in TRECVID video test set containing various types of shot transition with lighting effects, object and camera movement within the shots. Further, this paper compares the experimental results of the proposed method with existing methods. It shows that the proposed method outperforms the state-of-art methods for shot boundary detection.</description><identifier>https://zenodo.org/record/1128083</identifier><identifier>10.5281/zenodo.1128083</identifier><identifier>oai:zenodo.org:1128083</identifier><language>eng</language><relation>doi:10.5281/zenodo.1128082</relation><relation>url:https://zenodo.org/communities/waset</relation><rights>info:eu-repo/semantics/openAccess</rights><rights>https://creativecommons.org/licenses/by/4.0/legalcode</rights><subject>Content-based indexing and retrieval</subject><subject>cut transition detection</subject><subject>discrete wavelet transform</subject><subject>shot boundary detection</subject><subject>video source.</subject><title>Shot Boundary Detection Using Octagon Square Search Pattern</title><type>Journal:Article</type><type>Journal:Article</type><recordID>1128083</recordID></dc>
|
language |
eng |
format |
Journal:Article Journal Journal:Journal |
author |
J. Kavitha S. Sowmyayani P. Arockia Jansi Rani |
title |
Shot Boundary Detection Using Octagon Square Search Pattern |
publishDate |
2016 |
topic |
Content-based indexing and retrieval cut transition detection discrete wavelet transform shot boundary detection video source |
url |
https://zenodo.org/record/1128083 |
contents |
In this paper, a shot boundary detection method is presented using octagon square search pattern. The color, edge, motion and texture features of each frame are extracted and used in shot boundary detection. The motion feature is extracted using octagon square search pattern. Then, the transition detection method is capable of detecting the shot or non-shot boundaries in the video using the feature weight values. Experimental results are evaluated in TRECVID video test set containing various types of shot transition with lighting effects, object and camera movement within the shots. Further, this paper compares the experimental results of the proposed method with existing methods. It shows that the proposed method outperforms the state-of-art methods for shot boundary detection. |
id |
IOS16997.1128083 |
institution |
ZAIN Publications |
institution_id |
7213 |
institution_type |
library:special library |
library |
Cognizance Journal of Multidisciplinary Studies |
library_id |
5267 |
collection |
Cognizance Journal of Multidisciplinary Studies |
repository_id |
16997 |
subject_area |
Multidisciplinary |
city |
Stockholm |
province |
INTERNASIONAL |
shared_to_ipusnas_str |
1 |
repoId |
IOS16997 |
first_indexed |
2022-06-06T06:06:20Z |
last_indexed |
2022-06-06T06:06:20Z |
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dc |
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1734907555288711168 |
score |
17.538404 |