Title: Screenshot-based Color Compatibility Assessment and Transfer for Web Pages
Authors: Wu, O; Han, MQ
Author Full Names: Wu, Ou; Han, Mengqiao
Source: MULTIMEDIA TOOLS AND APPLICATIONS, 77 (6):6671-6698; 10.1007/s11042-017-4582-4 MAR 2018
Abstract: 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.
IDS Number: FZ9JV
Unique ID: WOS:000427927700012