Evaluation of Modifications to CPPPSNR in 360° Video Quality Assessment

Adhuran Jayasingam, Gosala Kulupana, Chathura Galkandage, Anil Fernando: Evaluation of Modifications to CPPPSNR in 360° Video Quality Assessment. In: 2019 27th European Signal Processing Conference (EUSIPCO), pp. 1-5, 2019, ISSN: 2076-1465.

Abstract

360° videos are represented in spherical projection formats and the video quality of such videos is assessed using spherical objective quality metrics. Furthermore, the objective video quality between two different spherical projection formats can be evaluated using Cross projection metrics. Craster parabola, is a 2D cross projection format which is used by Craster Parabolic Peak Signal-to-Noise Ratio (CPPPSNR) metric. The existing CPPPSNR measurements do not consider the subsampling locations during the quality assessment to match the pixel density of a sphere. Nevertheless, it is vitally important to account for the oversampled projection formats and the sphere in order to be compatible with the existing video encoding architectures. To this end, the proposed improvements to the CPPPSNR locates the subsample points during craster parabolic projection and use nearest neighbor interpolation to assign pixels from the craster parabolic projection. Furthermore, in order to compensate the occurrence of oversampling, appropriate weights are applied to the corresponding pixels. The proposed method was tested with Shanghai Jiao Ton University (SJTU) Virtual Reality (VR) sequences for projection conversion. The comparison between Spherical PSNR (SPSNR) and existing CPPPSNR, validate the proposed CPPPSNR as an objective quality metric for cross projections.

BibTeX (Download)

@inproceedings{8903145,
title = {Evaluation of Modifications to CPPPSNR in 360° Video Quality Assessment},
author = {Adhuran Jayasingam and Gosala Kulupana and Chathura Galkandage and Anil Fernando},
doi = {10.23919/EUSIPCO.2019.8903145},
issn = {2076-1465},
year  = {2019},
date = {2019-09-01},
booktitle = {2019 27th European Signal Processing Conference (EUSIPCO)},
pages = {1-5},
abstract = {360° videos are represented in spherical projection formats and the video quality of such videos is assessed using spherical objective quality metrics. Furthermore, the objective video quality between two different spherical projection formats can be evaluated using Cross projection metrics. Craster parabola, is a 2D cross projection format which is used by Craster Parabolic Peak Signal-to-Noise Ratio (CPPPSNR) metric. The existing CPPPSNR measurements do not consider the subsampling locations during the quality assessment to match the pixel density of a sphere. Nevertheless, it is vitally important to account for the oversampled projection formats and the sphere in order to be compatible with the existing video encoding architectures. To this end, the proposed improvements to the CPPPSNR locates the subsample points during craster parabolic projection and use nearest neighbor interpolation to assign pixels from the craster parabolic projection. Furthermore, in order to compensate the occurrence of oversampling, appropriate weights are applied to the corresponding pixels. The proposed method was tested with Shanghai Jiao Ton University (SJTU) Virtual Reality (VR) sequences for projection conversion. The comparison between Spherical PSNR (SPSNR) and existing CPPPSNR, validate the proposed CPPPSNR as an objective quality metric for cross projections.},
keywords = {360° videos, CISP, CPPPSNR, craster parabola, Cubemap, ERP, objective quality, projection, University of Surrey},
pubstate = {published},
tppubtype = {inproceedings}
}