3D video quality assessment based on visual perception

Pei Jun Lee, Hao Po Yang, Chen Chien Hsu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper proposes a new 3D video quality assessment based on 3D visual perception for texture and depth image for measuring the quality of stereoscopic 3D videos by detecting 3D distortions. The effectiveness of the proposed metrics is verified by conducting subjective evaluations on publicly available stereoscopic image databases. Experimental results show that significant consistency can be reached between the measured MOS and the proposed metrics, indicating that the proposed metric in comparison to 2D Quality metrics and other reference metrics is more suitable to human perception, as demonstrated by Pearson correlation coefficient (PLCC) and SRCC obtained from subjective and objective scores. Because the proposed 3D video quality assessment is based 3D visual perception, the quality assessment results bear more resemblance to the 3D experience of the viewer.

Original languageEnglish
Title of host publication2017 IEEE 6th Global Conference on Consumer Electronics, GCCE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-2
Number of pages2
ISBN (Electronic)9781509040452
DOIs
Publication statusPublished - 2017 Dec 19
Event6th IEEE Global Conference on Consumer Electronics, GCCE 2017 - Nagoya, Japan
Duration: 2017 Oct 242017 Oct 27

Publication series

Name2017 IEEE 6th Global Conference on Consumer Electronics, GCCE 2017
Volume2017-January

Other

Other6th IEEE Global Conference on Consumer Electronics, GCCE 2017
CountryJapan
CityNagoya
Period17/10/2417/10/27

Fingerprint

visual perception
Textures
bears
correlation coefficients
textures
conduction
evaluation

Keywords

  • 3D Distortion
  • 3D Quality Assessment
  • image quality assessment (IQA)

ASJC Scopus subject areas

  • Media Technology
  • Instrumentation
  • Electrical and Electronic Engineering

Cite this

Lee, P. J., Yang, H. P., & Hsu, C. C. (2017). 3D video quality assessment based on visual perception. In 2017 IEEE 6th Global Conference on Consumer Electronics, GCCE 2017 (pp. 1-2). (2017 IEEE 6th Global Conference on Consumer Electronics, GCCE 2017; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GCCE.2017.8229491

3D video quality assessment based on visual perception. / Lee, Pei Jun; Yang, Hao Po; Hsu, Chen Chien.

2017 IEEE 6th Global Conference on Consumer Electronics, GCCE 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-2 (2017 IEEE 6th Global Conference on Consumer Electronics, GCCE 2017; Vol. 2017-January).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Lee, PJ, Yang, HP & Hsu, CC 2017, 3D video quality assessment based on visual perception. in 2017 IEEE 6th Global Conference on Consumer Electronics, GCCE 2017. 2017 IEEE 6th Global Conference on Consumer Electronics, GCCE 2017, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-2, 6th IEEE Global Conference on Consumer Electronics, GCCE 2017, Nagoya, Japan, 17/10/24. https://doi.org/10.1109/GCCE.2017.8229491
Lee PJ, Yang HP, Hsu CC. 3D video quality assessment based on visual perception. In 2017 IEEE 6th Global Conference on Consumer Electronics, GCCE 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1-2. (2017 IEEE 6th Global Conference on Consumer Electronics, GCCE 2017). https://doi.org/10.1109/GCCE.2017.8229491
Lee, Pei Jun ; Yang, Hao Po ; Hsu, Chen Chien. / 3D video quality assessment based on visual perception. 2017 IEEE 6th Global Conference on Consumer Electronics, GCCE 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1-2 (2017 IEEE 6th Global Conference on Consumer Electronics, GCCE 2017).
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