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Title: Stereoscopic video quality assessment using binocular energy
Authors: Galkandage, Chathura
Calic, J.
Dogan, Safak
Guillemaut, Jean-Yves
Keywords: Stereoscopic video
HVS model
Quality metric
Issue Date: 2017
Publisher: © IEEE
Citation: GALKANDAGE, C. ...et al., 2017. Stereoscopic video quality assessment using binocular energy. IEEE Journal of Selected Topics in Signal Processing, 11(1), pp.102-112.
Abstract: Stereoscopic imaging is becoming increasingly popular. However, to ensure the best quality of experience, there is a need to develop more robust and accurate objective metrics for stereoscopic content quality assessment. Existing stereoscopic image and video metrics are either extensions of conventional 2D metrics (with added depth or disparity information) or are based on relatively simple perceptual models. Consequently, they tend to lack the accuracy and robustness required for stereoscopic content quality assessment. This paper introduces full-reference stereoscopic image and video quality metrics based on a Human Visual System (HVS) model incorporating important physiological findings on binocular vision. The proposed approach is based on the following three contributions. First, it introduces a novel HVS model extending previous models to include the phenomena of binocular suppression and recurrent excitation. Second, an image quality metric based on the novel HVS model is proposed. Finally, an optimised temporal pooling strategy is introduced to extend the metric to the video domain. Both image and video quality metrics are obtained via a training procedure to establish a relationship between subjective scores and objective measures of the HVS model. The metrics are evaluated using publicly available stereoscopic image/video databases as well as a new stereoscopic video database. An extensive experimental evaluation demonstrates the robustness of the proposed quality metrics. This indicates a considerable improvement with respect to the state-of-the-art with average correlations with subjective scores of 0.86 for the proposed stereoscopic image metric and 0.89 and 0.91 for the proposed stereoscopic video metrics.
Description: © IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor: This work used stereoscopic video sequences from the ROMEO project (grant number: 287896) of the EC FP7 ICT collaborative research programme.
Version: Accepted for publication
DOI: 10.1109/JSTSP.2016.2632045
URI: https://dspace.lboro.ac.uk/2134/23360
Publisher Link: http://dx.doi.org/10.1109/JSTSP.2016.2632045
ISSN: 1932-4553
Appears in Collections:Published Articles (Loughborough University London)

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