Using Color and Composition to Classify Web Pages
نویسنده
چکیده
This article describes a method of classifying webpages using features extracted from the design. Design features are language independent and correspond well to a user’s first impression of a page. A number of new feature extractors were developed, capable of extracting human-readable features. These features are based on guidelines for use of color and composition in web design. The composition feature extractors detect photos and columns on a page. The color feature extractors consist of a method for extracting a color palette from a web page and analyzing this palette. A new dataset was created and labelled. The new features lead to better classification of web pages when classes are based on visual characteristics. They can also give insight into what causes a page to look good, modern or commercial.
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