Journal of Information Technology & Software Engineering
Open Access

A novel vision-based web page segmentation algorithm

Global Summit and Expo on Multimedia & Applications

August 10-11, 2015 Birmingham, UK

Mingwen Tong

Posters-Accepted Abstracts: J Inform Tech Soft Engg

Abstract :

With the rapid development of microelectronics technology and mobile communication technology, mobile phone users
have increased rapidly. However, mobile phone cannot present the content of web page designed for PC properly
because of the limitations of mobile phone screen size and computing power. The contradictions have become increasingly
prominent and sharp with the rapid growth of mobile phone users and the rapid development of mobile communication
technology. For this problem, proposing vision-based webpage segmentation (VWS) technology, from the visual perspective
of identifying characteristic of web content blocks (CBs) to addressing the problems of accurately and efficiently display Web
pages in mobile browser and to improve the user experience. The novel technology innovatively describes the visual features
of CBs from six dimensions; the weight for each dimension can be confirmed by Weights Direct Determination of Neural
Networks which can determine value of weight by only one step, based on the human visual characteristics and innovatively
regards web page segmentation as grouping optimization problem based on the optimization theory. Therefore, web page can
be divided into subpages network which each sub-page suitable for mobile browser rendering and the semantic of it is complete
and maximized. Quantitative analysis and qualitative analysis prove that VWS technology work well to solve the problem of
web pages displayed in the phone rightly and has a better user experience.