Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/6982
Title: Using visual cues for the extraction of web image semantic information
Authors: Tsapatsoulis, Nicolas 
Tryfou, Georgina 
Keywords: Digital libraries
Image processing
Computer science
Issue Date: 2012
Publisher: Springer
Source: Second ιnternational conference, TPDL 2012, Paphos, Cyprus, September 23-27
Abstract: Mining information for the images that currently exist in huge amounts on the web, has been a main scientific interest during the past years. Several methods have been exploited and web image information is extracted from textual sources such as image file names, anchor texts, existing keywords and, of course, surrounding text. However, the systems that attempt to mine information for images using surrounding text suffer from several problems, such as the inability to correctly assign all relevant text to an image and discard the irrelevant text as well. A novel method for extracting web image information is discussed in the present paper. The proposed system uses visual cues in order to cluster a web page into several regions and assign to each hosted image the text that most possibly refers to it. Three different approaches to the problem of text to image assignment are discussed and evaluated. The evaluation procedure indicates the advantages of using visual cues and two dimensional euclidean measures for extracting information for web images
Description: Book Title : Theory and Practice of Digital Libraries : Second International Conference, TPDL 2012, Paphos, Cyprus, September 23-27, 2012. Proceedings, pp 396-401. ISBN : 978-3-642-33289-0
URI: http://ktisis.cut.ac.cy/handle/10488/6982
DOI: 10.1007/978-3-642-33290-6_42
Rights: © 2012 Springer-Verlag
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

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