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author:

Huang, H. (Huang, H..) [1] | Xu, Y. (Xu, Y..) [2] | Chen, J. (Chen, J..) [3] | Song, Y. (Song, Y..) [4] | Zhao, T. (Zhao, T..) [5]

Indexed by:

Scopus

Abstract:

With the ever-growing availability of Virtual Reality (VR) products, the 360-degree video has a widespread application prospect, which also brings new challenges to its quality assessment. Considering its unconventional display environment, the users’ attention on 360-degree video may be significantly different from its conventional 2D version. Recently, the Weighted-to-Spherically-uniform Peak Signal-to-Noise Ratio (WS-PSNR) was developed to weight PSNR by its covered area in 360-degree video display. In this work, we find that the average attention per area still differs subject to its latitude. Thus we propose to utilize this average attention to formulate a latitude-based quality weight matrix. Through experiments, this new matrix outperforms that of WS-PSNR in pooling of PSNR when latitude-based quality fluctuations exist in 360-degree video display. © Springer Nature Switzerland AG 2018.

Keyword:

360-degree video; Omnidirectional video; Video quality assessment; Visual attention model

Community:

  • [ 1 ] [Huang, H.]College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
  • [ 2 ] [Xu, Y.]College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
  • [ 3 ] [Chen, J.]College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
  • [ 4 ] [Song, Y.]College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
  • [ 5 ] [Zhao, T.]College of Physics and Information Engineering, Fuzhou University, Fuzhou, China

Reprint 's Address:

  • [Zhao, T.]College of Physics and Information Engineering, Fuzhou UniversityChina

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Source :

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ISSN: 0302-9743

Year: 2018

Volume: 11166 LNCS

Page: 282-290

Language: English

0 . 4 0 2

JCR@2005

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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