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Towards an Online Color Naming Model

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Extensive research in color naming and color categorization has been more focused on a small number of consensual color categories than towards the development of more subtle color identifications. The work we present in this paper describes an online color-naming model. In this context we evaluated the performance of two probabilistic estimation algorithms for automatic assignment of CIELAB coordinates into an arbitrary number of color names. The algorithms were tested on data gathered in a sophisticated online color naming experiment detailed elsewhere and summarized here. Our methodology resulted in practical color naming models that can support natural language image segmentation, with a computational simplicity that makes them suitable for online applications.
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Document Type: Research Article

Publication date: January 1, 2010

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  • CIC is the premier annual technical gathering for scientists, technologists, and engineers working in the areas of color science and systems, and their application to color imaging. Participants represent disciplines ranging from psychophysics, optical physics, image processing, color science to graphic arts, systems engineering, and hardware and software development. While a broad mix of professional interests is the hallmark of these conferences, the focus is color. CICs traditionally offer two days of short courses followed by three days of technical sessions that include three keynotes, an evening lecture, a vibrant interactive (poster) papers session, and workshops. An endearing symbol of the meeting is the Cactus Award, given each year to the author(s) of the best interactive paper; there are also Best Paper and Best Student Paper awards.

    Please note: for Purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.

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