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Color Scheme Extraction Based on Image Segmentation and Saliency Map
http://doi.org/10.5626/JOK.2021.48.3.302
Color is the primary visual element that has the greatest amount of influence on the recognition of images. A color scheme is arranged through selection of a certain number of colors. Color schemes are used in various visual fields, such as fashion, cosmetics, interior design, media, and the arts. In this study, we introduce a method of automatically extracting color schemes from images. To overcome the shortcomings of previous methods, our method extracts a color scheme based on image segmentation and saliency map extraction. It also has the advantage of scalability, as it extracts schemes depending on their relative levels of importance in the image.
Saliency-based SVG Image Placeholder Generation
http://doi.org/10.5626/JOK.2019.46.1.39
Image placeholders are small file-size images used instead of original images for fast and efficient loading of large file-size images, or large-scale of images on the web. While various image placeholder generation techniques based on Scalar Vector Graphics (SVG) have been proposed, file size of the image placeholder increases inevitably for detailed description. Our method generates an SVG-based image placeholder by optimal placement of geometric primitives based on visual saliency. This method generates a smaller file-size placeholder while showing similar visual effects. From experimental results, we could observe that the saliency-based method produces high level-of-detail without increasing file size. Saliency-based SVG image placeholder generation will be useful for web-based services.
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