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Toward an impairment metric for stereoscopic video: a full-reference video quality metric to assess compressed stereoscopic video
journal contribution
posted on 2016-04-22, 13:28 authored by Varuna De Silva, Hemantha Kodikara Arachchi, Erhan Ekmekcioglu, Ahmet KondozThe 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 ProcessingVolume
22Issue
9Pages
3392 - 3404Citation
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
2013Notes
This paper is in closed access.ISSN
1057-7149eISSN
1941-0042Publisher version
Language
- en