Presentation 2005-10-18
A Sentence Extraction Technique Based on HTML Parsing Tree Structures around Images for WWW Image Retrieval
Hiroshi IDEHARA, Noriyuki FUJIMOTO, Hiroshi TAKENO, Kenichi HAGIHARA,
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Abstract(in English) Web image retrieval is often used to obtain images of what a searcher does not know well. In such a case, existing Web image retrieval systems are not so useful because the retrieval results include almost no information, except images. Since in general the retrieval results includes not only relevant images but also irrelevant images, a searcher is forced to check whether the shown images are relevant or not by visiting Web pages. This paper describes the design and evaluation of a Web image retrieval system which provides a searcher not only images but also the annotations of the images.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) WWW / text based image retrieval / important annotation extraction
Paper # DE2005-136,DC2005-30
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Conference Information
Committee DE
Conference Date 2005/10/11(1days)
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Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Sentence Extraction Technique Based on HTML Parsing Tree Structures around Images for WWW Image Retrieval
Sub Title (in English)
Keyword(1) WWW
Keyword(2) text based image retrieval
Keyword(3) important annotation extraction
1st Author's Name Hiroshi IDEHARA
1st Author's Affiliation Graduate School of Information Science and Technology, Osaka University()
2nd Author's Name Noriyuki FUJIMOTO
2nd Author's Affiliation Graduate School of Information Science and Technology, Osaka University
3rd Author's Name Hiroshi TAKENO
3rd Author's Affiliation / Graduate School of Information Science and Technology, Osaka University
4th Author's Name Kenichi HAGIHARA
4th Author's Affiliation
Date 2005-10-18
Paper # DE2005-136,DC2005-30
Volume (vol) vol.105
Number (no) 338
Page pp.pp.-
#Pages 6
Date of Issue