01540nas a2200145   4500008004100000245004600041210004600087260001900133300001500152520106800167100002101235700002601256700001701282856009501299       2010                        eng d00aImage extraction from online text streams0 aImage extraction from online text streams  c20 - 23 April   a 609 - 6143 aIn this paper we present an efficient system that
processes HTML pages in order to extract the useful images from them. The proposed mechanism is template independent and is focalized on HTML pages that include news articles from major portals and blogs. As useful images we define the pictures that
are relevant to the news report. In order to extract the image objects of the article we deconstruct the HTML page to its DOM model and we apply a set of algorithms in order to clean and correct the HTML code, locate and characterize each node of the
DOM model and finally keep the nodes that are characterized as useful nodes. The proposed mechanism is applied as a subsystem of peRSSonal, a web tool that is used to obtain news articles from
all over the world, process them and present them back to the end users in a personalized manner. The role of the mechanism is to feed peRSSonal?s database with digital images for browsing and searching purposes. We present the basic algorithms and experimental results on the efficiency of the proposed implementation.1 aBouras, Christos1 aPoulopoulos, Vassilis1 aAdam, George  uhttps://telematics.upatras.gr/telematics/publications/image-extraction-online-text-streams