Presentation | 2003/7/11 Extraction of image similarity by clustering of word vectors made from attached text and its evaluation Keigo HIRAI, Ryuichi OKA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper proposes a method to determine a similarity measure between images by using texts which are attached to images. A text is transformed a word vector. A clustering algorithm is applied to both a set of word vector and a set of vectors made from images independently. Then each pair data of image and text makes a linkage between clusters of two kinds. The proposed similarity is defined in a circle across clusters of two kinds by through of partition of image. Entry of a single image or text into the circle realizes an image retrieval. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | imaga retrieval / similarity measure / media integration / text clustering |
Paper # | PRMU2003-62,IE2003-32,MVE2003-44 |
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Committee | PRMU |
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Conference Date | 2003/7/11(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Extraction of image similarity by clustering of word vectors made from attached text and its evaluation |
Sub Title (in English) | |
Keyword(1) | imaga retrieval |
Keyword(2) | similarity measure |
Keyword(3) | media integration |
Keyword(4) | text clustering |
1st Author's Name | Keigo HIRAI |
1st Author's Affiliation | The University of Aizu Graduate School() |
2nd Author's Name | Ryuichi OKA |
2nd Author's Affiliation | The University of Aizu |
Date | 2003/7/11 |
Paper # | PRMU2003-62,IE2003-32,MVE2003-44 |
Volume (vol) | vol.103 |
Number (no) | 208 |
Page | pp.pp.- |
#Pages | 6 |
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