  In this paper, we propose a novel framework to characterize a wide color
gamut image content based on perceived quality due to the processes that change
color gamut, and demonstrate two practical use cases where the framework can be
applied. We first introduce the main framework and implementation details.
Then, we provide analysis for understanding of existing wide color gamut
datasets with quantitative characterization criteria on their characteristics,
where four criteria, i.e., coverage, total coverage, uniformity, and total
uniformity, are proposed. Finally, the framework is applied to content
selection in a gamut mapping evaluation scenario in order to enhance
reliability and robustness of the evaluation results. As a result, the
framework fulfils content characterization for studies where quality of
experience of wide color gamut stimuli is involved.
