Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/20.500.12008/43504

Título:

Modelado de calidad percibida de video en televisión digital abierta

Otros títulos:

Coordinador:

Director:

Compilador:

Autor:

Garella, Juan Pablo

Tutor:

Tipo de documento:

Ponencia

Editor:

Palabras clave:

Digital Television (DTV)
Quality of Experience (QoE)
Video Quality Assessment (VQA)

Descriptores:

Año de publicación:

2017

Contenido:

Resumen:

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

Descripción:

Trabajo presentado a la Conferencia Latinoamericana de Informática, CLEI 2017. 46s. Jornadas Argentinas de Informática, Córdoba, Argentina, 4-8 set. 2017.

metadata.articulos.dc.description.uri:

Editorial:

EN:

Financiadores:

Citación:

Garella, J. P. "Modelado de calidad percibida de video en televisión digital abierta" Publicado en: Memorias de la Conferencia Latinoamericana de Informática (CLEI) 2017. 46s. Jornadas Argentinas de Informática, Córdoba, Argentina, 4-8 set. 2017.

Citación:

metadata.articulos.cc.license.name:

ISBN:

e-ISBN:

ISSN:

ISMN:

Otros identificadores:

Cobertura geográfica:

Cobertura temporal:

Departamento académico:

Telecomunicaciones

Grupo de investigación:

Licencia:

Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
FicherosDescripciónTamañoFormato
Gar17.pdf — 3.43 MB Adobe PDF