| Project/Area Number |
18500079
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Media informatics/Database
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| Research Institution | University of Toyama |
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Principal Investigator |
TAKAI Shoso University of Toyama, INFORMATION TECHNOLOGY CENTER, PROFESSOR (80206705)
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| Co-Investigator(Kenkyū-buntansha) |
FUJIMOTO Yukio REETAKU UNIVERSEIY, GRADUATE SCHOOL OF LINGUISTIC EDUCATION, PROFESSOR (70093458)
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| Project Period (FY) |
2006 – 2007
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| Project Status |
Completed (Fiscal Year 2007)
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| Budget Amount *help |
¥2,070,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥270,000)
Fiscal Year 2007: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2006: ¥900,000 (Direct Cost: ¥900,000)
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| Keywords | WebDB Information System / Ajax Technology / Ancient Document DB / Image Retrieval Tool / Unicode Input Supporting Tool / Retrieval Word Suggesting Tool / 印影画像DB / 画像検索 |
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| Research Abstract |
The goal of this research is to develop the ancient document image database system and retrieval tools with Ajax technology. We have to restructure the database of Old Korean Books existing in Japan named DOKB for adding these document images and its metadata. That image database must be integrated into the current DOKB with ancient document gravers name Database named KOKUSEIU and authors' seal shadow image database named IN-EI.
We carried out the fallowing procedure and got the next results in these two years.
1. First year we input 4,561 sheets image from ancient document photographs and 11,135 sheets image from Elms of ancient documents. We understood that it is difficult to cut out an author seal shadows from photo image of ancient documents because of the many seal shadow images were overlapped with Kanji character in same document. So, fast of all we have implemented the database system named KOKUSHU which is including ancient document gravers' name information.
2. We have implemented the Unicode Kanji character Input Support tools with Ajax technology and installed into existing database system named DOKB.
3. We have developed the trial version input support tools to guess a key word by input each one character every time and selected candidate key words are indicated at pull-down menu area.
4. The ancient document image database system have been finished about seventy percent of the development.
5. The development of the database system of authors' seal shadow image was stopped after solving how to cutout a seal shadow image from the same document images.
At present we are continuing to improve this existing DOKB database system for better database system by effective technologies and web tools.
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