• Journal of Internet Computing and Services
    ISSN 2287 - 1136(Online) / ISSN 1598 - 0170 (Print)
    http://jics.or.kr/

Super Metric: Quality Assessment Methods for Immersive Video


Jong-Beom Jeong, Seunghwan Kim, Soonbin Lee, Inae Kim, Eun-Seok Ryu, Journal of Internet Computing and Services, Vol. 22, No. 2, pp. 51-58, Apr. 2021
10.7472/jksii.2021.22.2.51, Full Text:
Keywords: 3DoF+, 6DoF, Immersive Video, quality assessment, Virtual reality

Abstract

Three degrees of freedom plus(3DoF+) and six degrees of freedom(6DoF) system, which supports a user’s movements in graphical and natural scene-based virtual reality, requires multiple high-quality and high-resolution videos to provide immersive media. Previous video quality assessment methods are not appropriate for the 3DoF+ and 6DoF system assessment because different types of artifacts occur in these systems which are not shown in the traditional video compression. This paper provides the performance assessments of several quality assessment methods in 3DoF+ system. Furthermore, this paper presents a super metric, which combines multiple quality assessment methods, thereby it showed a higher correlation coefficient with the subjective quality assessment than the previous methods. Experimental results on 3DoF+ immersive video showed 0.4513 gain on correlation coefficient with subjective quality assessment compared to that of peak signal-to-noise ratio(PSNR).


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Cite this article
[APA Style]
Jong-Beom Jeong, Seunghwan Kim, Soonbin Lee, Inae Kim, & Eun-Seok Ryu (2021). Super Metric: Quality Assessment Methods for Immersive Video. Journal of Internet Computing and Services, 22(2), 51-58. DOI: 10.7472/jksii.2021.22.2.51.

[IEEE Style]
J. Jeong, S. Kim, S. Lee, I. Kim and E. Ryu, "Super Metric: Quality Assessment Methods for Immersive Video," Journal of Internet Computing and Services, vol. 22, no. 2, pp. 51-58, 2021. DOI: 10.7472/jksii.2021.22.2.51.

[ACM Style]
Jong-Beom Jeong, Seunghwan Kim, Soonbin Lee, Inae Kim, and Eun-Seok Ryu. 2021. Super Metric: Quality Assessment Methods for Immersive Video. Journal of Internet Computing and Services, 22, 2, (2021), 51-58. DOI: 10.7472/jksii.2021.22.2.51.