Please use this identifier to cite or link to this item:
|Title:||Extraction of web image information: semantic or visual cues?||Authors:||Tsapatsoulis, Nicolas
|Issue Date:||2012||Publisher:||Springer||Source:||8th IFIP WG 12.5 international conference, AIAI 2012, Halkidiki, Greece, September 27-30||Abstract:||Text based approaches for web image information retrieval have been exploited for many years, however the noisy textual content of the web pages makes their task challenging. Moreover, text based systems that retrieve information from textual sources such as image file names, anchor texts, existing keywords and, of course, surrounding text often share the inability to correctly assign all relevant text to an image and discard the irrelevant. A novel method for indexing web images is discussed in the present paper. The main concern of the proposed system is to overcome the obstacle of correctly assigning textual information to web images, while disregarding text that is unrelated to them. The proposed system uses visual cues in order to cluster a web page into several regions and compares this method to the use of semantic information and the realization of a k-means clustering. The evaluation reveals the advantages and disadvantages of the different clustering techniques and confirms the validity of the proposed method for web image indexing||Description:||Book Title : Artificial Intelligence Applications and Innovations : 8th IFIP WG 12.5 International Conference, AIAI 2012, Halkidiki, Greece, September 27-30, 2012, Proceedings, Part I, Pages 368-373. ISBN : 978-3-642-33408-5.||URI:||http://ktisis.cut.ac.cy/handle/10488/7010||DOI:||10.1007/978-3-642-33409-2_38||Rights:||© 2012 IFIP International Federation for Information Processing|
|Appears in Collections:||Δημοσιεύσεις σε συνέδρια/Conference papers|
Show full item record
checked on Jan 2, 2017
checked on Jan 19, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.