KEYWORDS: RGB color model, Nomenclature, Switches, Visualization, Statistical analysis, Electronic imaging, Switching, Human vision and color perception, Bridges, Colorimetry
Three sets of color tone stimuli were created for three hues, red, green and blue, by varying just two parameters, saturation and value. Two methods were employed to study how native speakers of Japanese use adjectives to describe differences in their perceptions of color tones. A preliminary elicitation employed the methods of selection description, in which Japanese adjectives meaning pale, bright, vivid, strong, dull and dark constituted a high proportion of responses for 56 Japanese native speakers. These adjectives were employed in a triadic comparison method for the same stimuli, and the adjectives were used in a consistent manner for all three hues. Of particular interest were two pairs of adjective contrasts, first, vivid vs. dull, described variation along the axis connecting the tone at both highest saturation and highest value with the tone at both lower saturation and lower value. The second adjective contrast, bright vs. strong, was practically orthogonal to the first. To further document the consensual use of these pairs of adjectives in describing variation of color tone, two additional experiments were executed to determine the boundary color tones at which adjective labels switch from bright to strong and from vivid to dull.
The subjective perception of colors has been extensively studied, with a focus on single colors or on combinations of a few colors. Not much has been done, however, to understand the subjective perception of colors in other contexts, where color is not a single feature. This is what the Kansei community in Japan has set itself to, by exploring subjective experiences of perceptions, and colors in particular, given its obvious influence on humans' emotional changes. The motivation is to create computational models of user visual perceptions, so that computers can be endowed with the ability to personalize visual aspects of their computational task, according to their user. Such a capability is hypothesized to be very important in fields such as printing, information search, design support, advertisement, etc. In this paper, we present our experimental results in the study of color as a contextual feature of images, rather than in isolation. The experiments aim at understanding the mechanisms linked to the personal perception of colors in complex images, and to understand the formation of color categories when labeling experiences related to color perception.
Conference Committee Involvement (1)
Internet Imaging V
19 January 2004 | San Jose, California, United States
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