Estimating Perceived Video Quality from Objective Parameters in Video over IP Services

Cruz Ramos, Pedro de la; Navarro Salmerón, Joaquín; Pérez Leal, Raquel y González Vidal, Francisco (2012). Estimating Perceived Video Quality from Objective Parameters in Video over IP Services. En: "7th IARIA International Conference on Digital Telecommunications (ICDT 2012)", 29/04/2012 - 04/05/2012, Chamonix, France. ISBN 978-1-61208-193-9.

Descripción

Título: Estimating Perceived Video Quality from Objective Parameters in Video over IP Services
Autor/es:
  • Cruz Ramos, Pedro de la
  • Navarro Salmerón, Joaquín
  • Pérez Leal, Raquel
  • González Vidal, Francisco
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 7th IARIA International Conference on Digital Telecommunications (ICDT 2012)
Fechas del Evento: 29/04/2012 - 04/05/2012
Lugar del Evento: Chamonix, France
Título del Libro: Proccedings of 7th IARIA International Conference on Digital Telecommunications (ICDT 2012)
Fecha: Abril 2012
ISBN: 978-1-61208-193-9
Materias:
Palabras Clave Informales: Video over IP, Perceived Quality, Quality Models, Quality of Experience, Quality of Service
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Ingeniería de Sistemas Telemáticos [hasta 2014]
Licencias Creative Commons: Reconocimiento - No comercial - Compartir igual

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Resumen

In Video over IP services, perceived video quality heavily depends on parameters such as video coding and network Quality of Service. This paper proposes a model for the estimation of perceived video quality in video streaming and broadcasting services that combines the aforementioned parameters with other that depend mainly on the information contents of the video sequences. These fitting parameters are derived from the Spatial and Temporal Information contents of the sequences. This model does not require reference to the original video sequence so it can be used for online, real-time monitoring of perceived video quality in Video over IP services. Furthermore, this paper proposes a measurement workbench designed to acquire both training data for model fitting and test data for model validation. Preliminary results show good correlation between measured and predicted values.

Más información

ID de Registro: 11544
Identificador DC: http://oa.upm.es/11544/
Identificador OAI: oai:oa.upm.es:11544
URL Oficial: http://www.thinkmind.org/index.php?view=article&articleid=icdt_2012_4_10_20090
Depositado por: Doctor Pedro de la Cruz Ramos
Depositado el: 09 Jul 2012 10:24
Ultima Modificación: 20 Abr 2016 19:35
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