2012 Fiscal Year Final Research Report
Large-Scale Specific Object Recognition and Its Application to Real-World Oriented Web
| Project/Area Number |
22300062
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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 |
Perception information processing/Intelligent robotics
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| Research Institution | Osaka Prefecture University |
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Principal Investigator |
KISE Koichi 大阪府立大学, 大学院・工学研究科, 教授 (80224939)
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| Co-Investigator(Kenkyū-buntansha) |
IWAMURA Masakazu 大阪府立大学, 大学院・工学研究科, 准教授 (80361129)
IWATA Motoi 大阪府立大学, 大学院・工学研究科, 助教 (70316008)
UTSUMI Yuzuko 大阪府立大学, 大学院・工学研究科, 助教 (80613489)
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| Project Period (FY) |
2010 – 2012
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| Keywords | インターネット高度化 / 自動タグ付け / 画像 / 文章 / 音声等認識 / ディレクトリ・情報検索 / 文書画像検索 |
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| Research Abstract |
The real-world oriented Web is a web of things that play a role of input/output tags of information. Information relevant to an object can be retrieved by just taking an image of it by using a camera. The user can associate relevant information to an object by taking its image. As objects to be handled, we consider various types such as characters, documents, 3D objects and faces. In this research we develop a method of object recognition with the following capabilities for realizing the above Web: (a) large-scale (for documents, 100 million pages), fast (for documents, 27ms/query), and accurate (for documents 99%). In addition we build a theoretical framework as well as prototypes of the real-world oriented Web.
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Research Products
(55 results)
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[Presentation] Document Identification2012
Author(s)
Koichi Kise
Organizer
International Workshop on Digital Media Analysis, Search and Management
Place of Presentation
San Diego, USA (Invited Talk)
Year and Date
2012-02-27
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