A Framework to Measure and Estimate Video Quality in SVC Real-Time Adaptive Systems-Reference-Cited by-同舟云学术

A Framework to Measure and Estimate Video Quality in SVC Real-Time Adaptive Systems

Published:2014-01 Issue:1 Volume:10 Page:47-64
ISSN:1548-0631
Container-title:International Journal of Business Data Communications and Networking
language:en
Short-container-title:

Author:

Álvarez Alberto¹,Pozueco Laura¹,Cabrero Sergio¹,Pañeda Xabiel G.¹,García Roberto¹,Melendi David¹,Díaz Gabriel²

Affiliation:

1. Informatics Department, University of Oviedo, Gijón, Spain

2. Electrical and Computing Department, Spanish University for Distance Education (U.N.E.D), Madrid, Spain

Abstract

Effectively adapting the content to network conditions in real-time is an important matter in best-effort networks like the Internet. Scalable Video Coding (SVC) is an interesting alternative to implement such systems. However, some problems of the performance evaluation of SVC based adaptive systems have not been solved. The authors review the main efforts directed to measure video quality on SVC related systems and discuss the limitations of each one. This paper elaborates a framework to measure video quality metrics in real adaptive SVC based streams. An estimation method for full reference video quality metrics is proposed. This method reduces reference information required and it is able to provide real-time accurate results simply using metadata regarding the video quality of the reference layers. The video quality of several streams that have been generated using a real-time adaptive system is first measured with the elaborated framework and then estimated with the proposed method.

Publisher

IGI Global

Subject

Computer Networks and Communications,Management Information Systems

Reference32 articles.

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