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, 13:28authored byVaruna 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/