Screenshot-based color compatibility assessment and transfer for Web pages
Autor: | Ou Wu, Mengqiao Han |
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Rok vydání: | 2017 |
Předmět: |
Information retrieval
Computer Networks and Communications Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020207 software engineering 02 engineering and technology Web colors Web design program World Wide Web Color scheme Web mining Hardware and Architecture Web design Web page 0202 electrical engineering electronic engineering information engineering Media Technology 020201 artificial intelligence & image processing Web mapping Software |
Zdroj: | Multimedia Tools and Applications. 77:6671-6698 |
ISSN: | 1573-7721 1380-7501 |
DOI: | 10.1007/s11042-017-4582-4 |
Popis: | Colors play particularly important roles in both designing and accessing Web pages. A well-designed color scheme improves the visual aesthetic of Web pages and facilitates user interactions. As far as we know, existing studies on color compatibility assessment and enhancement focus on images, and the assessment and enhancement for Web colors are rare. In order to aid Web designers evaluate and choose colors, this paper investigates color compatibility assessment for Web pages and applies this assessment to Web color editing based on Web screenshots rather than source codes. This study consists of four parts. First, the roles of color design in Web pages are discussed and a screenshot-based approach is proposed for the analysis of Web page regions. Second, a new method for extracting the color theme of a Web page is proposed. Then, we construct an assessment model that attributes scores to the color compatibility of Web pages through transfer learning. Third, we examine Web color transfer and combine it with the learned compatibility assessment model to create a new application that recommends colors for Web design. Lastly, the evaluation results suggest that the constructed compatibility assessment model and the proposed color transfer technique are effective and are superior over conventional methods. User studies suggest that our color recommendation application can generate new Web page screenshots that have higher color compatibility scores in comparison with those of the original pages. |
Databáze: | OpenAIRE |
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