Presentation 2003/1/10
Introducing a Word Vector Space Model and Improved Image Features to Web Image-Gathering
Keiji YANAI,
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Abstract(in English) For realizing a recognition system for real-world images, recently, many methods by which a large number of images are required as learning are proposed. It is, however, hard to collect a large number of learning images, so that many conventional studies restricted their target objects to special objects such as human faces and dars. Then, in this paper, we propose a asystem that can gather a large number of real-world images from the World-Wide Web (WWW) automatically. We realize the system by making three kinds of improvements for the Image Collector, which is an Web-image-gathering system we proposed in the past. (1) We word vectors of HTML files embedding image files as well as image feature vectors extracted from image files. (2) Instead of simple color histogram, we use Earth Mover's Distance for computing the similarity between images. (3) For gathering much more images, we extract words from all the HTML files embedding final output images, select top ten words about the frequency that words appear in the HTML files, and adds them to query keywords to text-based Web search engines.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) image gathering / WWW / image retrieval / image database
Paper # PRMU2002-198
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Conference Information
Committee PRMU
Conference Date 2003/1/10(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Introducing a Word Vector Space Model and Improved Image Features to Web Image-Gathering
Sub Title (in English)
Keyword(1) image gathering
Keyword(2) WWW
Keyword(3) image retrieval
Keyword(4) image database
1st Author's Name Keiji YANAI
1st Author's Affiliation Department of Computer Science, The University of Electro-Communications()
Date 2003/1/10
Paper # PRMU2002-198
Volume (vol) vol.102
Number (no) 555
Page pp.pp.-
#Pages 6
Date of Issue