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author:

Huang, Huiwen (Huang, Huiwen.) [1] | Xu, Yiwen (Xu, Yiwen.) [2] | Chen, Jinling (Chen, Jinling.) [3] | Song, Yanjie (Song, Yanjie.) [4] | Zhao, Tiesong (Zhao, Tiesong.) [5]

Indexed by:

EI

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:

Behavioral research Signal to noise ratio Virtual reality

Community:

  • [ 1 ] [Huang, Huiwen]College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
  • [ 2 ] [Xu, Yiwen]College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
  • [ 3 ] [Chen, Jinling]College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
  • [ 4 ] [Song, Yanjie]College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
  • [ 5 ] [Zhao, Tiesong]College of Physics and Information Engineering, Fuzhou University, Fuzhou, China

Reprint 's Address:

  • [zhao, tiesong]college of physics and information engineering, fuzhou university, fuzhou, china

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Source :

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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