@inproceedings{2020_01_azevedo,
title={Subjective and Viewport-based Objective Quality Assessment of
360-degree Videos},
author={Azevedo, Roberto Gerson de Albuquerque and Birkbeck, Neil and
Janatra, Ivan and Adsumilli, Balu and Frossard, Pascal},
pages={6},
year={2020},
month={January},
abstract={Visual distortions in processed 360-degree visual content and
consumed through head-mounted displays (HMDs) are perceived very differently
when compared to traditional 2D content. To better understand how
compression-related artifacts affect the overall perceived quality of
360-degree videos, this paper presents a subjective quality assessment study
and analyzes the performance of objective metrics to correlate with the
gathered subjective scores. In contrast to previous related work, the
proposed study focuses on the equiangular cubemap projection and includes
specific visual distortions (blur, blockiness, H.264 compression, and cubemap
seams) on both monoscopic and stereoscopic sequences. The objective metrics
performance analysis is based on metrics computed in both the projection
domain and the viewports, which is closer to what the user sees. The results
show that overall objective metrics computed on viewports are more correlated
with the subjective scores in our dataset than the same metrics computed in
the projection domain. Moreover, the proposed dataset and objective metrics
analysis serve as a benchmark for the development of new perception-optimized
quality as- sessment algorithms for 360-degree videos, which is still a
largely open research problem.},
url={http://infoscience.epfl.ch/record/271755},
booktitle={Proceedings of Image Quality and System Performance XVII,
Electronic Imaging 2020},
address={Burlingame, California, USA},
}

%%% 2019 %%%

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A.","Birkbeck, N.","Janatra, I.","Adsumilli, B.","Frossard, P."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","title":"Subjective and Viewport-based Objective Quality Assessment of 360-degree Videos","author":[{"propositions":[],"lastnames":["Azevedo"],"firstnames":["Roberto","Gerson","de","Albuquerque"],"suffixes":[]},{"propositions":[],"lastnames":["Birkbeck"],"firstnames":["Neil"],"suffixes":[]},{"propositions":[],"lastnames":["Janatra"],"firstnames":["Ivan"],"suffixes":[]},{"propositions":[],"lastnames":["Adsumilli"],"firstnames":["Balu"],"suffixes":[]},{"propositions":[],"lastnames":["Frossard"],"firstnames":["Pascal"],"suffixes":[]}],"pages":"6","year":"2020","month":"January","abstract":"Visual distortions in processed 360-degree visual content and consumed through head-mounted displays (HMDs) are perceived very differently when compared to traditional 2D content. To better understand how compression-related artifacts affect the overall perceived quality of 360-degree videos, this paper presents a subjective quality assessment study and analyzes the performance of objective metrics to correlate with the gathered subjective scores. In contrast to previous related work, the proposed study focuses on the equiangular cubemap projection and includes specific visual distortions (blur, blockiness, H.264 compression, and cubemap seams) on both monoscopic and stereoscopic sequences. The objective metrics performance analysis is based on metrics computed in both the projection domain and the viewports, which is closer to what the user sees. The results show that overall objective metrics computed on viewports are more correlated with the subjective scores in our dataset than the same metrics computed in the projection domain. Moreover, the proposed dataset and objective metrics analysis serve as a benchmark for the development of new perception-optimized quality as- sessment algorithms for 360-degree videos, which is still a largely open research problem.","url":"http://infoscience.epfl.ch/record/271755","booktitle":"Proceedings of Image Quality and System Performance XVII, Electronic Imaging 2020","address":"Burlingame, California, USA","bibtex":"@inproceedings{2020_01_azevedo,\ntitle={Subjective and Viewport-based Objective Quality Assessment of\n360-degree Videos},\nauthor={Azevedo, Roberto Gerson de Albuquerque and Birkbeck, Neil and\nJanatra, Ivan and Adsumilli, Balu and Frossard, Pascal},\npages={6},\nyear={2020},\nmonth={January},\nabstract={Visual distortions in processed 360-degree visual content and\nconsumed through head-mounted displays (HMDs) are perceived very differently\nwhen compared to traditional 2D content. To better understand how\ncompression-related artifacts affect the overall perceived quality of\n360-degree videos, this paper presents a subjective quality assessment study\nand analyzes the performance of objective metrics to correlate with the\ngathered subjective scores. In contrast to previous related work, the\nproposed study focuses on the equiangular cubemap projection and includes\nspecific visual distortions (blur, blockiness, H.264 compression, and cubemap\nseams) on both monoscopic and stereoscopic sequences. The objective metrics\nperformance analysis is based on metrics computed in both the projection\ndomain and the viewports, which is closer to what the user sees. The results\nshow that overall objective metrics computed on viewports are more correlated\nwith the subjective scores in our dataset than the same metrics computed in\nthe projection domain. 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