Video Summarization by an Innovative Method in Shot Detection

The aim of a video summarization system is to provide a set of key frames which contain the most important parts of video. This method results in efficient storage, quick browsing, and retrieval of video collection. In this paper, we propose a new summarization system which firstly divides the video...

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Detalles Bibliográficos
Autores: Ahmadzade, Ali Mohammad, Farsi, Hassan
Tipo de recurso: artículo
Fecha de publicación:2015
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:131875
Acceso en línea:https://ddd.uab.cat/record/131875
https://dx.doi.org/urn:doi:10.5565/rev/elcvia.697
Access Level:acceso abierto
Palabra clave:Video summarization
Hybrid method
Shot detection
Key frame
Adaptive sampling
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spelling Video Summarization by an Innovative Method in Shot DetectionAhmadzade, Ali MohammadFarsi, HassanVideo summarizationHybrid methodShot detectionKey frameAdaptive samplingThe aim of a video summarization system is to provide a set of key frames which contain the most important parts of video. This method results in efficient storage, quick browsing, and retrieval of video collection. In this paper, we propose a new summarization system which firstly divides the video into meaningful shots using an innovative and fast method, and then we sample the video frames of each shot. This results in 97% reduction in under-process video frames. Then, using various characteristics of sampled frames such as color histogram, correlation and moment of inertia, we propose an adaptive aggregation function for combination of these characteristics (differences) and extraction of key frames. The proposed system is evaluated using 250 manual key frames constructed by human operators from 50 downloaded videos. The obtained results show that the proposed system provides better results compared to 6 different traditional methods. 22015-01-0120152015-01-01Articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/131875https://dx.doi.org/urn:doi:10.5565/rev/elcvia.697reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengopen accesshttp://purl.org/coar/access_right/c_abf2Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.https://creativecommons.org/licenses/by-nc-nd/3.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:1318752026-06-06T12:50:31Z
dc.title.none.fl_str_mv Video Summarization by an Innovative Method in Shot Detection
title Video Summarization by an Innovative Method in Shot Detection
spellingShingle Video Summarization by an Innovative Method in Shot Detection
Ahmadzade, Ali Mohammad
Video summarization
Hybrid method
Shot detection
Key frame
Adaptive sampling
title_short Video Summarization by an Innovative Method in Shot Detection
title_full Video Summarization by an Innovative Method in Shot Detection
title_fullStr Video Summarization by an Innovative Method in Shot Detection
title_full_unstemmed Video Summarization by an Innovative Method in Shot Detection
title_sort Video Summarization by an Innovative Method in Shot Detection
dc.creator.none.fl_str_mv Ahmadzade, Ali Mohammad
Farsi, Hassan
author Ahmadzade, Ali Mohammad
author_facet Ahmadzade, Ali Mohammad
Farsi, Hassan
author_role author
author2 Farsi, Hassan
author2_role author
dc.subject.none.fl_str_mv Video summarization
Hybrid method
Shot detection
Key frame
Adaptive sampling
topic Video summarization
Hybrid method
Shot detection
Key frame
Adaptive sampling
description The aim of a video summarization system is to provide a set of key frames which contain the most important parts of video. This method results in efficient storage, quick browsing, and retrieval of video collection. In this paper, we propose a new summarization system which firstly divides the video into meaningful shots using an innovative and fast method, and then we sample the video frames of each shot. This results in 97% reduction in under-process video frames. Then, using various characteristics of sampled frames such as color histogram, correlation and moment of inertia, we propose an adaptive aggregation function for combination of these characteristics (differences) and extraction of key frames. The proposed system is evaluated using 250 manual key frames constructed by human operators from 50 downloaded videos. The obtained results show that the proposed system provides better results compared to 6 different traditional methods.
publishDate 2015
dc.date.none.fl_str_mv 2
2015-01-01
2015
2015-01-01
dc.type.none.fl_str_mv Article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://ddd.uab.cat/record/131875
https://dx.doi.org/urn:doi:10.5565/rev/elcvia.697
url https://ddd.uab.cat/record/131875
https://dx.doi.org/urn:doi:10.5565/rev/elcvia.697
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by-nc-nd/3.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by-nc-nd/3.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Dipòsit Digital de Documents de la UAB
instname:Universitat Autònoma de Barcelona
instname_str Universitat Autònoma de Barcelona
reponame_str Dipòsit Digital de Documents de la UAB
collection Dipòsit Digital de Documents de la UAB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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