Share Email Print
cover

Proceedings Paper

About subjective evaluation of adaptive video streaming
Author(s): Samira Tavakoli; Kjell Brunnström; Narciso Garcia
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

The usage of HTTP Adaptive Streaming (HAS) technology by content providers is increasing rapidly. Having available the video content in multiple qualities, using HAS allows to adapt the quality of downloaded video to the current network conditions providing smooth video-playback. However, the time-varying video quality by itself introduces a new type of impairment. The quality adaptation can be done in different ways. In order to find the best adaptation strategy maximizing users perceptual quality it is necessary to investigate about the subjective perception of adaptation-related impairments. However, the novelties of these impairments and their comparably long time duration make most of the standardized assessment methodologies fall less suited for studying HAS degradation. Furthermore, in traditional testing methodologies, the quality of the video in audiovisual services is often evaluated separated and not in the presence of audio. Nevertheless, the requirement of jointly evaluating the audio and the video within a subjective test is a relatively under-explored research field. In this work, we address the research question of determining the appropriate assessment methodology to evaluate the sequences with time-varying quality due to the adaptation. This was done by studying the influence of different adaptation related parameters through two different subjective experiments using a methodology developed to evaluate long test sequences. In order to study the impact of audio presence on quality assessment by the test subjects, one of the experiments was done in the presence of audio stimuli. The experimental results were subsequently compared with another experiment using the standardized single stimulus Absolute Category Rating (ACR) methodology.

Paper Details

Date Published: 17 March 2015
PDF: 11 pages
Proc. SPIE 9394, Human Vision and Electronic Imaging XX, 939407 (17 March 2015); doi: 10.1117/12.2076387
Show Author Affiliations
Samira Tavakoli, Univ. Politécnica de Madrid (Spain)
Kjell Brunnström, Acreo Swedish ICT AB (Sweden)
Mid Sweden Univ. (Sweden)
Narciso Garcia, Univ. Politécnica de Madrid (Spain)


Published in SPIE Proceedings Vol. 9394:
Human Vision and Electronic Imaging XX
Bernice E. Rogowitz; Thrasyvoulos N. Pappas; Huib de Ridder, Editor(s)

© SPIE. Terms of Use
Back to Top