A Study of Knowledge-Intensive Visualization System
| Project/Area Number |
17300029
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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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 | The University of Tokyo |
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Principal Investigator |
SHIRAYAMA Susumu The University of Tokyo, Research into Arrttifacts, Center for Engineering, Associate Professor (10322067)
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| Project Period (FY) |
2005 – 2007
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| Project Status |
Completed (Fiscal Year 2007)
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| Budget Amount *help |
¥15,350,000 (Direct Cost: ¥14,600,000、Indirect Cost: ¥750,000)
Fiscal Year 2007: ¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Fiscal Year 2006: ¥4,400,000 (Direct Cost: ¥4,400,000)
Fiscal Year 2005: ¥7,700,000 (Direct Cost: ¥7,700,000)
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| Keywords | Knowledge-Intensive / Visualization / Intelligent Space / Analysis of Visualization Process / Networked data / Distributed Knowledge / Annotation / Eye Tracking / 視知覚モデル / 可視化エージェント / ネットワーク知 / クラスタリング / 眼球運動検出 / 複雑ネットワーク分析 |
|---|
| Research Abstract |
Development of high-performance personal computing and the spread of broadband service may mean that a huge amount of data is produced from a personal site, and useful computational data is accumulated and distributed over personal sites.
Owing to the volume of data, it is quite difficult to extract useful information from these data even if using scientific/information visualization techniques. In this study, a flexible visualization methodology based on "analysis of visualization process" is introduced. And we have developed a new knowledge-intensive visualization system to overcome the above-mentioned issues.
First, we summarized the basic requirements of our system from users' evaluations of conventional visualization system and needs for future system. Secondly, we pointed out the importance of structurization of process of data generation and data management, and formulation of data definitions. Thirdly, we have developed major components of the system as follows:
1. intelligent space for the analysis of visualization process,
2. synthetic visualization technique for scientific and information visualization,
3. new technique to retrieve a grid data based on the characteristic feature of grid data,
4. image recording technique has the capability to preserve for long-term.
And then,
5. An efficient isosurfacing technique based on human visual recognition,
6. An annotation system based on visual attention,
7. A visualization agent designed from a process model helps to reduce the difficulty of handling huge data, are considered.
A part of the system is released as public domain software. It will be expected that the visualized information produced from our system can be preserved as an intellectual asset in long time.
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Report
(4 results)
Research Products
(77 results)
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[Book] 知的可視化2006
Author(s)
白山 晋
Total Pages
232
Publisher
丸善(株)
Description
「研究成果報告書概要(和文)」より
Related Report
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