Abstract
This paper presents a system that helps users by suggesting appropriate colors for inserting text and symbols into an image. The color distribution in the image regions surrounding the annotation area determines the colors that make a good choice – i.e. capture a viewer’s attention, while remaining legible. Each point in the color-space is assigned a distance-map value, where colors with higher values are better choices. This tool works like a “Magic Marker” giving users the power to automatically choose a good annotation color, which can be varied based on their personal preferences.
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Garg, S., Padalkar, K., Mueller, K. (2011). Magic Marker: A Color Analytics Interface for Image Annotation. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2011. Lecture Notes in Computer Science, vol 6938. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24028-7_58
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DOI: https://doi.org/10.1007/978-3-642-24028-7_58
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