Classification Via Hidden Markov Trees For A Vision-Based Approach To Conveying Webpages To Users With Assistive Needs
2016 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE (WI 2016)(2016)
摘要
In this paper we present an overview of our proposed algorithms for classifying regions of web pages based on content and visual properties. We show how hidden Markov trees may be effective for the classification and how this may end up offering improved experiences to users who are trying to view webpages.
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关键词
conveying web pages to users, vision-based depiction of web pages, assistive technology
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