Semantic Video Quality Assessment
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/62918 |
Resumo: | The increasing availability of high-speed internet connections, the increase in smartphone usability and also the ubiquity of social networking, all combined, help to create a great diversity of User-Generated Content (UGC). Along with this expansion, Ultra High Definition (UHD) broadcast technology has been developing rapidly since its beginning. This created the need to distinguish between good and bad quality videos. The best way to assess the quality of a video is through the human eye. However, given the amount of content it becomes quite impractical. Therefore, computational methods are used. These methods try to assess it as close as possible to what would be assessed by the human vision. The semantics of a video is the meaning of the video itself and using this information, an idea of what the video is about can be provided, helping even in the assessment of a video. Having that in mind, this thesis uses a video collection and a news articles collection in order to extract the information regarding the objects in the scene and the terms in the news. The similarity between both information is taken into consideration to assess the quality o the videos. In this way, the assessment is done using semantic information. The main contributions of this work are the video quality assessment based on semantic information and an evaluation of a set of object detection algorithms used for semantic extraction in videos. |
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Semantic Video Quality AssessmentUser Generated ContentVideo Quality AssessmentSemanticVideo ProcessingObject DetectionDomínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e InformáticaThe increasing availability of high-speed internet connections, the increase in smartphone usability and also the ubiquity of social networking, all combined, help to create a great diversity of User-Generated Content (UGC). Along with this expansion, Ultra High Definition (UHD) broadcast technology has been developing rapidly since its beginning. This created the need to distinguish between good and bad quality videos. The best way to assess the quality of a video is through the human eye. However, given the amount of content it becomes quite impractical. Therefore, computational methods are used. These methods try to assess it as close as possible to what would be assessed by the human vision. The semantics of a video is the meaning of the video itself and using this information, an idea of what the video is about can be provided, helping even in the assessment of a video. Having that in mind, this thesis uses a video collection and a news articles collection in order to extract the information regarding the objects in the scene and the terms in the news. The similarity between both information is taken into consideration to assess the quality o the videos. In this way, the assessment is done using semantic information. The main contributions of this work are the video quality assessment based on semantic information and an evaluation of a set of object detection algorithms used for semantic extraction in videos.Correia, NunoJesus, RuiRUNSilveira, Bárbara Maria Assunção da2019-03-11T15:37:05Z2018-1220182018-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/62918enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:29:42Zoai:run.unl.pt:10362/62918Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:33:49.224679Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Semantic Video Quality Assessment |
title |
Semantic Video Quality Assessment |
spellingShingle |
Semantic Video Quality Assessment Silveira, Bárbara Maria Assunção da User Generated Content Video Quality Assessment Semantic Video Processing Object Detection Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática |
title_short |
Semantic Video Quality Assessment |
title_full |
Semantic Video Quality Assessment |
title_fullStr |
Semantic Video Quality Assessment |
title_full_unstemmed |
Semantic Video Quality Assessment |
title_sort |
Semantic Video Quality Assessment |
author |
Silveira, Bárbara Maria Assunção da |
author_facet |
Silveira, Bárbara Maria Assunção da |
author_role |
author |
dc.contributor.none.fl_str_mv |
Correia, Nuno Jesus, Rui RUN |
dc.contributor.author.fl_str_mv |
Silveira, Bárbara Maria Assunção da |
dc.subject.por.fl_str_mv |
User Generated Content Video Quality Assessment Semantic Video Processing Object Detection Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática |
topic |
User Generated Content Video Quality Assessment Semantic Video Processing Object Detection Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática |
description |
The increasing availability of high-speed internet connections, the increase in smartphone usability and also the ubiquity of social networking, all combined, help to create a great diversity of User-Generated Content (UGC). Along with this expansion, Ultra High Definition (UHD) broadcast technology has been developing rapidly since its beginning. This created the need to distinguish between good and bad quality videos. The best way to assess the quality of a video is through the human eye. However, given the amount of content it becomes quite impractical. Therefore, computational methods are used. These methods try to assess it as close as possible to what would be assessed by the human vision. The semantics of a video is the meaning of the video itself and using this information, an idea of what the video is about can be provided, helping even in the assessment of a video. Having that in mind, this thesis uses a video collection and a news articles collection in order to extract the information regarding the objects in the scene and the terms in the news. The similarity between both information is taken into consideration to assess the quality o the videos. In this way, the assessment is done using semantic information. The main contributions of this work are the video quality assessment based on semantic information and an evaluation of a set of object detection algorithms used for semantic extraction in videos. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-12 2018 2018-12-01T00:00:00Z 2019-03-11T15:37:05Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/62918 |
url |
http://hdl.handle.net/10362/62918 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799137960052916224 |