Estimation of Goodness of Image Retrieval
| Project/Area Number |
25540076
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Perceptual information processing
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| Research Institution | National Institute of Informatics |
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Principal Investigator |
SATOH Shin'ichi 国立情報学研究所, コンテンツ科学研究系, 教授 (90249938)
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| Project Period (FY) |
2013-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2014: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2013: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | 画像データベース / 画像検索 / 画像レコメンデーション / 転置索引 / 分枝限定法 / 検索結果の良さ / 物体検索 / 固有次元推定 |
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| Outline of Final Research Achievements |
We studied the estimation of goodness of image retrieval, namely, a method to judge if a given query returns good image retrieval results, without performing actual retrieval. On top of this, we implemented image recommendation system which can recommend good query with given image database. We tested the system with the database contains 1 million images and confirmed that our method can effectively recommend good query region with scalable processing.
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Report
(3 results)
Research Products
(7 results)
