Faculty of Information Technology, BUT

Publication Details

Web Page Element Classification Based on Visual Features

BURGET Radek and RUDOLFOVÁ Ivana. Web Page Element Classification Based on Visual Features. In: 1st Asian Conference on Intelligent Information and Database Systems ACIIDS 2009. Dong Hoi: IEEE Computer Society, 2009, pp. 67-72. ISBN 978-0-7695-3580-7.
Czech title
Klasifikace elementů webových stránek na základě vizuálních vlastností
Type
conference paper
Language
english
Authors
Keywords
page segmentation, preprocessing, classification, visual features, visual blocks
Abstract
When applying the traditional data mining methods to World Wide Web documents, the typical problem is that a normal web page contains a variety of information of different kinds in addition to its main content. This additional information such as navigation, advertisement or copyright notices negatively influences the results of the data mining methods as for example the content classification. In this paper, we present a method of interesting area detection in a web page. This method is inspired by an assumed human reader approach to this task. First, basic visual blocks are detected in the page and subsequently, the purpose of these blocks is guessed based on their visual appearance. We describe a page segmentation method used for the visual block detection, we propose a way of the block classification based on the visual features and finally, we provide an experimental evaluation of the method on real-world data.
Published
2009
Pages
67-72
Proceedings
1st Asian Conference on Intelligent Information and Database Systems ACIIDS 2009
Conference
1st Asian Conference on Intelligent Information and Database Systems, Dong Hoi, VN
ISBN
978-0-7695-3580-7
Publisher
IEEE Computer Society
Place
Dong Hoi, VN
BibTeX
@INPROCEEDINGS{FITPUB8881,
   author = "Radek Burget and Ivana Rudolfov\'{a}",
   title = "Web Page Element Classification Based on Visual Features",
   pages = "67--72",
   booktitle = "1st Asian Conference on Intelligent Information and Database Systems ACIIDS 2009",
   year = 2009,
   location = "Dong Hoi, VN",
   publisher = "IEEE Computer Society",
   ISBN = "978-0-7695-3580-7",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/8881"
}
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