Back to articles
Articles
Volume: 31 | Article ID: art00015
Image
Adaptive video streaming with current codecs and formats: Extensions to parametric video quality model ITU-T P.1203
  DOI :  10.2352/ISSN.2470-1173.2019.10.IQSP-314  Published OnlineJanuary 2019
Abstract

Adaptive streaming is fast becoming the most widely used method for video delivery to the end users over the internet. The ITU-T P.1203 standard is the first standardized quality of experience model for audiovisual HTTP-based adaptive streaming. This recommendation has been trained and validated for H.264 and resolutions up to and including full-HD. The paper provides an extension for the existing standardized short-term video quality model mode 0 for new codecs i.e., H.265, VP9 and AV1 and resolutions larger than full-HD (e.g. UHD-1). The extension is based on two subjective video quality tests. In the tests, in total 13 different source contents of 10 seconds each were used. These sources were encoded with resolutions ranging from 360p to 2160p and various quality levels using the H.265, VP9 and AV1 codecs. The subjective results from the two tests were then used to derive a mapping/correction function for P.1203.1 to handle new codecs and resolutions. It should be noted that the standardized model was not re-trained with the new subjective data, instead only a mapping/correction function was derived from the two subjective test results so as to extend the existing standard to the new codecs and resolutions.

Subject Areas :
Views 23
Downloads 3
 articleview.views 23
 articleview.downloads 3
  Cite this article 

Rakesh Rao Ramachandra Rao, Steve Göring, Patrick Vogel, Nicolas Pachatz, Juan Jose Villamar Villarreal, Werner Robitza, Peter List, Bernhard Feiten, Alexander Raake, "Adaptive video streaming with current codecs and formats: Extensions to parametric video quality model ITU-T P.1203in Proc. IS&T Int’l. Symp. on Electronic Imaging: Image Quality and System Performance XVI,  2019,  pp 314-1 - 314-7,  https://doi.org/10.2352/ISSN.2470-1173.2019.10.IQSP-314

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2019
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151 USA