A Study on Large-Scale Generic Object Recognition System for 1000-class Categorization
Project/Area Number |
20680010
|
Research Category |
Grant-in-Aid for Young Scientists (A)
|
Allocation Type | Single-year Grants |
Research Field |
Perception information processing/Intelligent robotics
|
Research Institution | The University of Electro-Communications |
Principal Investigator |
YANAI Keiji 電気通信大学, 大学院・情報理工学研究科, 准教授 (20301179)
|
Project Period (FY) |
2008 – 2010
|
Project Status |
Completed (Fiscal Year 2010)
|
Budget Amount *help |
¥24,310,000 (Direct Cost: ¥18,700,000、Indirect Cost: ¥5,610,000)
Fiscal Year 2010: ¥9,880,000 (Direct Cost: ¥7,600,000、Indirect Cost: ¥2,280,000)
Fiscal Year 2009: ¥5,850,000 (Direct Cost: ¥4,500,000、Indirect Cost: ¥1,350,000)
Fiscal Year 2008: ¥8,580,000 (Direct Cost: ¥6,600,000、Indirect Cost: ¥1,980,000)
|
Keywords | 一般物体認識 / 画像認識 / Webマルチメディアマイニング / 大量クラス / Web画像マイニング / メディア情報学 / 人工知能 / 画像認識システム |
Research Abstract |
In this research, we studied on large-scale generic object recognition system and related topics: (1) Construction of a 1000-category image database (2) Construction of an image ontology database with two million Web images (3) Food image recognition system for 100-category foods (4) Automatic construction of 100-kind action shot database (5) Analysis of relation between visual concepts and locations
|
Report
(4 results)
Research Products
(55 results)