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

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

Description

Title: Estimating Perceived Video Quality from Objective Parameters in Video over IP Services
Author/s:
  • Cruz Ramos, Pedro de la
  • Navarro Salmerón, Joaquín
  • Pérez Leal, Raquel
  • González Vidal, Francisco
Item Type: Presentation at Congress or Conference (Article)
Event Title: 7th IARIA International Conference on Digital Telecommunications (ICDT 2012)
Event Dates: 29/04/2012 - 04/05/2012
Event Location: Chamonix, France
Title of Book: Proccedings of 7th IARIA International Conference on Digital Telecommunications (ICDT 2012)
Date: April 2012
ISBN: 978-1-61208-193-9
Subjects:
Freetext Keywords: Video over IP, Perceived Quality, Quality Models, Quality of Experience, Quality of Service
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería de Sistemas Telemáticos [hasta 2014]
Creative Commons Licenses: Recognition - Non commercial - Share

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Abstract

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.

More information

Item ID: 11544
DC Identifier: http://oa.upm.es/11544/
OAI Identifier: oai:oa.upm.es:11544
Official URL: http://www.thinkmind.org/index.php?view=article&articleid=icdt_2012_4_10_20090
Deposited by: Doctor Pedro de la Cruz Ramos
Deposited on: 09 Jul 2012 10:24
Last Modified: 20 Apr 2016 19:35
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