Project/Area Number |
11558041
|
Research Category |
Grant-in-Aid for Scientific Research (B)
|
Allocation Type | Single-year Grants |
Section | 展開研究 |
Research Field |
Intelligent informatics
|
Research Institution | CHUO UNIVERSITY |
Principal Investigator |
KATO Toshikazu Chuo University, Faculty of Science and Engineering, Prof., 理工学部, 教授 (50297107)
|
Co-Investigator(Kenkyū-buntansha) |
SHOJI Hiroko Dept. of Informatics Education, Faculty of Education, Lecture, 教育学部, 講師 (30286174)
KOBAYASHI Hideyuki OMRON Co., IT Research Lab., Researcher, IT研究所, 研究員
OHTA Shunji OMRON Co., IT Research Lab., Researcher, IT研究所, 研究員
SAKAI Hirotaka Chuo University, Faculty of Science and Engineering, Prof., 理工学部, 教授 (00170564)
SAKANE Shigeyuki Chuo University, Faculty of Science and Engineering, Prof., 理工学部, 教授 (10276694)
|
Project Period (FY) |
1999 – 2001
|
Project Status |
Completed (Fiscal Year 2001)
|
Budget Amount *help |
¥13,800,000 (Direct Cost: ¥13,800,000)
Fiscal Year 2001: ¥4,100,000 (Direct Cost: ¥4,100,000)
Fiscal Year 2000: ¥4,800,000 (Direct Cost: ¥4,800,000)
Fiscal Year 1999: ¥4,900,000 (Direct Cost: ¥4,900,000)
|
Keywords | Kansei information processing / Kansei model / sketch retrieval / similarity retrieval / Kansei retrieval / conten-based image retrieval / full color image / 3D object model |
Research Abstract |
(1) Content-based Retrieval Algorithms for Various Kinds of Images : We developed graphical feature parameters to simulate the neural network of human visual perception process at physiological level. We also developed generalized model for mutual interaction among neighboring cells such as lateral inhibition at local scope as well as whole visual cells such as light adaptation at global scope. (2) Image Database Server on the Internet : We developed database agent mechanism. It manages parallel access to the database servers in different tag structures and integrates the responses from them into the single format through the single user interface. (3) Integrated Graphical User Interface : We developed user interfaces for intuitive interaction by interface agent mechanism. It applies information filtering based on the Kansei model of the user to provide user friendly interaction at cognition level as well as visual level.
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