We introduce an algorithm for automatic selection of semantically‐resonant colors to
represent data (eg, using blue for data about “oceans”, or pink for “love”). Given a set of …

Our ability to reliably name colors provides a link between visual perception and symbolic
cognition. In this paper, we investigate how a statistical model of color naming can enable …

In this paper we present a parametric model for automatic color naming where each color
category is modeled as a fuzzy set with a parametric membership function. The parameters …

This paper describes an ongoing web-based approach to collecting color names or color
categories. Previous studies have tended to require a large number of observations from a …

Color encoding is foundational to visualizing quantitative data. Guidelines for colormap
design have traditionally emphasized perceptual principles, such as order and uniformity …

In computer vision, colour naming has been posed as a fuzzy‐set problem where each
colour category is modeled by a function that assigns a membership value to any given …

In this paper we describe a non-parametric probabilistic model that can be used to encode
relationships in color naming datasets. This model can be used with datasets with any …

Color is a key component of information display that is easy to use badly. As a result,
Edward Tufte's key principle for color design is" do no harm." While inspired color design is …

In this paper, we propose a two-stage CNN-based framework to learn color names from web
images, aiming to predict color names for tiny image patches. To deal with the noisy labels …

Despite the popularity of photo editors used to improve image attractiveness and
expressiveness on social media, many users have trouble making sense of color filter effects …