A Perception-Based Framework for Wide Color Gamut Content Selection

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

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.