Modelado de calidad percibida de video en televisión digital abierta
- Autores
- Garella Lena, Juan Pablo
- Año de publicación
- 2017
- Idioma
- español castellano
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- In this master’s thesis Video Quality Assessment state of the art is reached. Different full reference (FR), reduced reference (RR) and no reference (NR) objective video quality estimation models, previously proposed by the research group, by the academic community or standardized by international organizations, are evaluated and analyzed. Their performance is compared by contrasting their results with ones obtained through subjective video quality evaluations. The ISDB-Tb standard of free-to-air Digital Television (DTV) is deepened, from the point of view of the correct reception and visualization of the DTV signal. Finally, this work contains specific contributions in the area of objective video quality assessment with application in DTV. In this thesis it is proposed and evaluated a new method that combines FR and NR objective models to perform the perceived video quality prediction in real time for the DTV signal. This new approach is based on modern video quality evaluation techniques under a DTV monitoring system with receiver nodes geographically distributed in the coverage area of a DTV station.
Sociedad Argentina de Informática e Investigación Operativa (SADIO) - Materia
-
Ciencias Informáticas
digital television
quality of experience
video quality assessment - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-sa/4.0/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/64819
Ver los metadatos del registro completo
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Modelado de calidad percibida de video en televisión digital abiertaGarella Lena, Juan PabloCiencias Informáticasdigital televisionquality of experiencevideo quality assessmentIn this master’s thesis Video Quality Assessment state of the art is reached. Different full reference (FR), reduced reference (RR) and no reference (NR) objective video quality estimation models, previously proposed by the research group, by the academic community or standardized by international organizations, are evaluated and analyzed. Their performance is compared by contrasting their results with ones obtained through subjective video quality evaluations. The ISDB-Tb standard of free-to-air Digital Television (DTV) is deepened, from the point of view of the correct reception and visualization of the DTV signal. Finally, this work contains specific contributions in the area of objective video quality assessment with application in DTV. In this thesis it is proposed and evaluated a new method that combines FR and NR objective models to perform the perceived video quality prediction in real time for the DTV signal. This new approach is based on modern video quality evaluation techniques under a DTV monitoring system with receiver nodes geographically distributed in the coverage area of a DTV station.Sociedad Argentina de Informática e Investigación Operativa (SADIO)2017-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/64819spainfo:eu-repo/semantics/altIdentifier/url/http://www.clei2017-46jaiio.sadio.org.ar/sites/default/files/Mem/CLTM/CLTM-01.pdfinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-sa/4.0/Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T10:41:22Zoai:sedici.unlp.edu.ar:10915/64819Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 10:41:23.218SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
Modelado de calidad percibida de video en televisión digital abierta |
title |
Modelado de calidad percibida de video en televisión digital abierta |
spellingShingle |
Modelado de calidad percibida de video en televisión digital abierta Garella Lena, Juan Pablo Ciencias Informáticas digital television quality of experience video quality assessment |
title_short |
Modelado de calidad percibida de video en televisión digital abierta |
title_full |
Modelado de calidad percibida de video en televisión digital abierta |
title_fullStr |
Modelado de calidad percibida de video en televisión digital abierta |
title_full_unstemmed |
Modelado de calidad percibida de video en televisión digital abierta |
title_sort |
Modelado de calidad percibida de video en televisión digital abierta |
dc.creator.none.fl_str_mv |
Garella Lena, Juan Pablo |
author |
Garella Lena, Juan Pablo |
author_facet |
Garella Lena, Juan Pablo |
author_role |
author |
dc.subject.none.fl_str_mv |
Ciencias Informáticas digital television quality of experience video quality assessment |
topic |
Ciencias Informáticas digital television quality of experience video quality assessment |
dc.description.none.fl_txt_mv |
In this master’s thesis Video Quality Assessment state of the art is reached. Different full reference (FR), reduced reference (RR) and no reference (NR) objective video quality estimation models, previously proposed by the research group, by the academic community or standardized by international organizations, are evaluated and analyzed. Their performance is compared by contrasting their results with ones obtained through subjective video quality evaluations. The ISDB-Tb standard of free-to-air Digital Television (DTV) is deepened, from the point of view of the correct reception and visualization of the DTV signal. Finally, this work contains specific contributions in the area of objective video quality assessment with application in DTV. In this thesis it is proposed and evaluated a new method that combines FR and NR objective models to perform the perceived video quality prediction in real time for the DTV signal. This new approach is based on modern video quality evaluation techniques under a DTV monitoring system with receiver nodes geographically distributed in the coverage area of a DTV station. Sociedad Argentina de Informática e Investigación Operativa (SADIO) |
description |
In this master’s thesis Video Quality Assessment state of the art is reached. Different full reference (FR), reduced reference (RR) and no reference (NR) objective video quality estimation models, previously proposed by the research group, by the academic community or standardized by international organizations, are evaluated and analyzed. Their performance is compared by contrasting their results with ones obtained through subjective video quality evaluations. The ISDB-Tb standard of free-to-air Digital Television (DTV) is deepened, from the point of view of the correct reception and visualization of the DTV signal. Finally, this work contains specific contributions in the area of objective video quality assessment with application in DTV. In this thesis it is proposed and evaluated a new method that combines FR and NR objective models to perform the perceived video quality prediction in real time for the DTV signal. This new approach is based on modern video quality evaluation techniques under a DTV monitoring system with receiver nodes geographically distributed in the coverage area of a DTV station. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-09 |
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info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion Objeto de conferencia http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
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http://sedici.unlp.edu.ar/handle/10915/64819 |
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info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-sa/4.0/ Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) |
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openAccess |
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http://creativecommons.org/licenses/by-sa/4.0/ Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) |
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