| Project/Area Number |
16H07411
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| Research Category |
Grant-in-Aid for Research Activity Start-up
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| Allocation Type | Single-year Grants |
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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 |
Matsui Yusuke 国立情報学研究所, コンテンツ科学研究系, 特任研究員 (80780676)
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| Project Period (FY) |
2016-08-26 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
Fiscal Year 2017: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2016: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Keywords | 近似最近傍探索 / 画像検索 / コンピュータアニメーション / 描画支援 / 映像検索 |
|---|
| Outline of Final Research Achievements |
We conducted a research on assisting contents-creation via image search with approximate nearest neighbor search. For a theoretical contribution, we proposed a data structure with product-quantization codes (PQ codes) and hash tables. For an application, we achieved an image retrieval for kotenseki images. We wrote a comprehensive survey paper about PQ with Prof. Jegou who developed the original PQ algorithm.
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