Abstract
This study, based on human emotions and visual impression, develops a novel framework of classification and indexing for wallpaper and textiles. This method allows users to obtain a number of similar images that can be corresponded to a specific emotion by indexing through a reference image or an emotional keyword. In addition, a predefined color–emotion model is applied to deal with the transference between emotions and colors in the paper. Besides color and emotion, the other significant feature for indexing is texture. Therefore, two features—the main colors (the representative colors) and the foreground complexity of a color image—are adopted in the method. The foreground complexity (a pattern complexity) is also called the texture of the pattern in an image. Another contribution of this study is the new algorithms of Touch Four Sides (TFS) and Touch Up Sides (TUS), which can aid in extracting an accurate background and foreground for color images. The potential applications of this study can support non-professionals in finding suitable color-combinations based on emotions for many applications with the transference between emotions and colors, and to imitate the professional operation of the color matching such as interior design, product design, advertising design, image retrieval and other relative applications.
Highlights
The prediction of human emotions is very important in many applications of business, science and engineering
This paper focuses on the images of wallpaper and textiles, which will be discussed together, because they have similar features in terms of their inherent structure
This paper proposes the indexing the indexing of wallpaper and textiles using emotion based on a predefined color–emotion model to of wallpaper and textiles using emotion based on a predefined color–emotion model to identify the identify the emotions generated by images
Summary
The prediction of human emotions is very important in many applications of business, science and engineering. This paper proposes the indexing the indexing of wallpaper and textiles using emotion based on a predefined color–emotion model to of wallpaper and textiles using emotion based on a predefined color–emotion model to identify the identify the emotions generated by images It is a new, interesting, and practical experience for users. The new mapping method for color–emotion proposed in this study uses a dynamic color. The newscheme mapping method color–emotion in this study uses dynamic combination utilizing the for complex content of proposed a color image to determine theanumber of color color combination scheme utilizing the complex content of a color image to determine the number of color combinations used: two, three or five colors.
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