File(s) not publicly available

Reason: This item is currently closed access.

Toward an impairment metric for stereoscopic video: a full-reference video quality metric to assess compressed stereoscopic video

journal contribution
posted on 22.04.2016 by Varuna De Silva, Hemantha Kodikara Arachchi, Erhan Ekmekcioglu, Ahmet Kondoz
The quality assessment of impaired stereoscopic video is a key element in designing and deploying advanced immersive media distribution platforms. A widely accepted quality metric to measure impairments of stereoscopic video is, however, still to be developed. As a step toward finding a solution to this problem, this paper proposes a full reference stereoscopic video quality metric to measure the perceptual quality of compressed stereoscopic video. A comprehensive set of subjective experiments is performed with 14 different stereoscopic video sequences, which are encoded using both the H.264 and high efficiency video coding compliant video codecs, to develop a subjective test results database of 116 test stimuli. The subjective results are analyzed using statistical techniques to uncover different patterns of subjective scoring for symmetrically and asymmetrically encoded stereoscopic video. The subjective result database is subsequently used for training and validating a simple but effective stereoscopic video quality metric considering heuristics of binocular vision. The proposed metric performs significantly better than state-of-the-art stereoscopic image and video quality metrics in predicting the subjective scores. The proposed metric and the subjective result database will be made publicly available, and it is expected that the proposed metric and the subjective assessments will have important uses in advanced 3D media delivery systems.

History

School

  • Loughborough University London

Published in

IEEE Transactions on Image Processing

Volume

22

Issue

9

Pages

3392 - 3404

Citation

DE SILVA, V. ...et al., 2013. Toward an impairment metric for stereoscopic video: a full-reference video quality metric to assess compressed stereoscopic video. IEEE Transactions on Image Processing, 22(9), pp. 3392-3404.

Version

VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2013

Notes

This paper is in closed access.

ISSN

1057-7149

eISSN

1941-0042

Language

en

Exports