Conference paper

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.
Publication language:english
Original title:Web Page Element Classification Based on Visual Features
Title (cs):Klasifikace elementů webových stránek na základě vizuálních vlastností
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
Place:Dong Hoi, VN
Year:2009
ISBN:978-0-7695-3580-7
Publisher:IEEE Computer Society
Keywords
page segmentation, preprocessing, classification, visual features, visual blocks
Annotation
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.
BibTeX:
@INPROCEEDINGS{
   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 = {http://www.fit.vutbr.cz/research/view_pub.php?id=8881}
}

Your IPv4 address: 54.166.245.10
Switch to IPv6 connection

DNSSEC [dnssec]