Presentation | 2000/2/21 Retrieval of Relevant Parts of Document Images Based on Density Distributions of Keywords Masaaki Tsujino, koichi Kise, Keinosuke Matsumoto, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In order to improve the retrieval accuracy of document image databases, it is necessary not to test the relevance between a query and each page / document, but to test whether each page contains parts relevant to a query. In this report, we propose a method for the retrieval of relevant parts of document images. In our method, the relevance is defined based on the observation that parts of document images are relevant if they densely contain keywords in a query. The use of 2D density distributions of feature vectors enables us to represent the density of keywords as well as to locate relevant regions in document images. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Passage retrieval / Document image / Density distribution / Document image database |
Paper # | PRMU99-226 |
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Committee | PRMU |
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Conference Date | 2000/2/21(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | Retrieval of Relevant Parts of Document Images Based on Density Distributions of Keywords |
Sub Title (in English) | |
Keyword(1) | Passage retrieval |
Keyword(2) | Document image |
Keyword(3) | Density distribution |
Keyword(4) | Document image database |
1st Author's Name | Masaaki Tsujino |
1st Author's Affiliation | Dept. of Computer and Systems Sciences, College of Engineering, Osaka Prefecture University() |
2nd Author's Name | koichi Kise |
2nd Author's Affiliation | Dept. of Computer and Systems Sciences, College of Engineering, Osaka Prefecture University |
3rd Author's Name | Keinosuke Matsumoto |
3rd Author's Affiliation | Dept. of Computer and Systems Sciences, College of Engineering, Osaka Prefecture University |
Date | 2000/2/21 |
Paper # | PRMU99-226 |
Volume (vol) | vol.99 |
Number (no) | 648 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |