A Perception-Based Framework for Wide Color Gamut Content Selection

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

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

3 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 languageEnglish
Title of host publication2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings
PublisherIEEE Computer Society
Pages709-713
Number of pages5
ISBN (Electronic)9781479970612
DOIs
Publication statusPublished - 2018 Aug 29
Event25th IEEE International Conference on Image Processing, ICIP 2018 - Athens, Greece
Duration: 2018 Oct 72018 Oct 10

Publication series

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

Conference

Conference25th IEEE International Conference on Image Processing, ICIP 2018
CountryGreece
CityAthens
Period18/10/718/10/10

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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