A Perception-Based Framework for Wide Color Gamut Content Selection

Junghyuk Lee; Toinon Vigier; Patrick Le Callet; Jong Seok Lee

doi:10.1109/ICIP.2018.8451497

A Perception-Based Framework for Wide Color Gamut Content Selection

Junghyuk Lee, Toinon Vigier, Patrick Le Callet, Jong Seok Lee

School of Integrated Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

Abstract

Considering the content dependence of the perceived quality, selection of source content can significantly influence the results of studies related to Quality of Experience. In this paper, we propose an automated content selection method towards wide color gamut stimuli. The framework enables to objectively characterize the content according to its perceptual properties and thus allows to select a representative, diverse, and challenging subsets for various studies. Experimental results validate the reliability and robustness of the proposed framework.

Original language	English
Title of host publication	2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings
Publisher	IEEE Computer Society
Pages	709-713
Number of pages	5
ISBN (Electronic)	9781479970612
DOIs	https://doi.org/10.1109/ICIP.2018.8451497
Publication status	Published - 2018 Aug 29
Event	25th IEEE International Conference on Image Processing, ICIP 2018 - Athens, Greece Duration: 2018 Oct 7 → 2018 Oct 10

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
ISSN (Print)	1522-4880

Conference

Conference	25th IEEE International Conference on Image Processing, ICIP 2018
Country/Territory	Greece
City	Athens
Period	18/10/7 → 18/10/10

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

All Science Journal Classification (ASJC) codes

Software
Computer Vision and Pattern Recognition
Signal Processing

Access to Document

10.1109/ICIP.2018.8451497

Cite this

Lee, J., Vigier, T., Callet, P. L., & Lee, J. S. (2018). A Perception-Based Framework for Wide Color Gamut Content Selection. In 2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings (pp. 709-713). Article 8451497 (Proceedings - International Conference on Image Processing, ICIP). IEEE Computer Society. https://doi.org/10.1109/ICIP.2018.8451497

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title = "A Perception-Based Framework for Wide Color Gamut Content Selection",

abstract = "Considering the content dependence of the perceived quality, selection of source content can significantly influence the results of studies related to Quality of Experience. In this paper, we propose an automated content selection method towards wide color gamut stimuli. The framework enables to objectively characterize the content according to its perceptual properties and thus allows to select a representative, diverse, and challenging subsets for various studies. Experimental results validate the reliability and robustness of the proposed framework.",

keywords = "Clustering, Color gamut mapping, Content selection, Quality of experience, Wide color gamut",

author = "Junghyuk Lee and Toinon Vigier and Callet, {Patrick Le} and Lee, {Jong Seok}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 25th IEEE International Conference on Image Processing, ICIP 2018 ; Conference date: 07-10-2018 Through 10-10-2018",

year = "2018",

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day = "29",

doi = "10.1109/ICIP.2018.8451497",

language = "English",

series = "Proceedings - International Conference on Image Processing, ICIP",

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Lee, J, Vigier, T, Callet, PL & Lee, JS 2018, A Perception-Based Framework for Wide Color Gamut Content Selection. in 2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings., 8451497, Proceedings - International Conference on Image Processing, ICIP, IEEE Computer Society, pp. 709-713, 25th IEEE International Conference on Image Processing, ICIP 2018, Athens, Greece, 18/10/7. https://doi.org/10.1109/ICIP.2018.8451497

A Perception-Based Framework for Wide Color Gamut Content Selection. / Lee, Junghyuk; Vigier, Toinon; Callet, Patrick Le et al.
2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings. IEEE Computer Society, 2018. p. 709-713 8451497 (Proceedings - International Conference on Image Processing, ICIP).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A Perception-Based Framework for Wide Color Gamut Content Selection

AU - Lee, Junghyuk

AU - Vigier, Toinon

AU - Callet, Patrick Le

AU - Lee, Jong Seok

PY - 2018/8/29

Y1 - 2018/8/29

N2 - Considering the content dependence of the perceived quality, selection of source content can significantly influence the results of studies related to Quality of Experience. In this paper, we propose an automated content selection method towards wide color gamut stimuli. The framework enables to objectively characterize the content according to its perceptual properties and thus allows to select a representative, diverse, and challenging subsets for various studies. Experimental results validate the reliability and robustness of the proposed framework.

AB - Considering the content dependence of the perceived quality, selection of source content can significantly influence the results of studies related to Quality of Experience. In this paper, we propose an automated content selection method towards wide color gamut stimuli. The framework enables to objectively characterize the content according to its perceptual properties and thus allows to select a representative, diverse, and challenging subsets for various studies. Experimental results validate the reliability and robustness of the proposed framework.

KW - Clustering

KW - Color gamut mapping

KW - Content selection

KW - Quality of experience

KW - Wide color gamut

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T3 - Proceedings - International Conference on Image Processing, ICIP

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BT - 2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings

PB - IEEE Computer Society

T2 - 25th IEEE International Conference on Image Processing, ICIP 2018

Y2 - 7 October 2018 through 10 October 2018

ER -

A Perception-Based Framework for Wide Color Gamut Content Selection

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