Using fuzzy-based content analysis to maintain visual coherence on content adaptation

• Main Authors: Chun-chieh Wu, 吳俊杰
• Other Authors: none
• Format: Others
• Language: en_US
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/5wzzx3

碩士 === 國立中央大學 === 資訊工程研究所 === 96 === Currently, mobile internet becomes more and more popular. Many people will access the internet via some portable devices such as PDAs and mobile phones. But most Web pages are designed for desktop PC and the mobile device users may have difficulty of browsing the Web page because the small device screen. For this reason, it’s necessary to provide a service which can automatically transform the Web content into a better version for mobile devices. Many approaches of content adaptation have been proposed to reach this goal, but how to maintain the visual coherence of Web contents during the adaptation procedure is still an important issue. Sometimes, the visual coherence may be break when we adjust the layout of contents and this problem will confuse users. In this thesis, we propose a content analysis method to quantify the visual coherence of Web contents by fuzzy inductive reasoning, and design a visual coherence-oriented adaptation system, VCAProxy. The system can automatically decide precise adaptation strategies to maintain the visual coherence during the adaptation procedure. Moreover, we implement our system in a proxy architecture which allow all kinds of devices to access our adaptation system and acquire the adapted pages suitable for mobile devices.