document: Image classification for mobile web browsing It is difficult for users of mobile devices such as cellular phones equipped with a small screen and a poor input interface to browse Web pages designed for desktop PCs with large displays . Many studies and commercial products have tried to solve this problem . Web pages include images that have various roles such as site menus , line headers for itemization , and page titles . However , most studies of mobile Web browsing have n't paid much attention to the roles of Web images . In this paper , we define eleven Web image categories according to their roles and use these categories for proper Web image handling . We manually categorized 3,901 Web images collected from forty Web sites and extracted image features of each category according to the classification . By making use of the extracted features , we devised an automatic Web image classification method . Furthermore , we evaluated the automatic classification of real Web pages and achieved up to 83.1 % classification accuracy . We also implemented an automatic Web page scrolling system as an application of our automatic image classification method .
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