| Project/Area Number |
23300041
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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 |
Media informatics/Database
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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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| Co-Investigator(Renkei-kenkyūsha) |
LE Duy-dinh 国立情報学研究所, コンテンツ科学研究系, 准教授 (80450170)
WU Xiaomeng 国立情報学研究所, コンテンツ科学研究系, 特任研究員 (20462179)
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| Project Period (FY) |
2011-04-01 – 2014-03-31
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥18,980,000 (Direct Cost: ¥14,600,000、Indirect Cost: ¥4,380,000)
Fiscal Year 2013: ¥6,760,000 (Direct Cost: ¥5,200,000、Indirect Cost: ¥1,560,000)
Fiscal Year 2012: ¥6,760,000 (Direct Cost: ¥5,200,000、Indirect Cost: ¥1,560,000)
Fiscal Year 2011: ¥5,460,000 (Direct Cost: ¥4,200,000、Indirect Cost: ¥1,260,000)
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| Keywords | マルチメディアアーカイブ / 潜在的リンク解析 / 部分画像同定 / 映像マイニング / 部分画像照合 / 放送映像アーカイブ |
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| Research Abstract |
We address partial image detection and identification which may correspond to recurrent objects in huge amount of multimedia archives such as large-scale broadcast video archive and Web images and videos. We regard detected and identified partial images as latent link and study mining techniques for graph structure composed of latent links obtained from archives. The outcome of this project enables enumeration of specific objects appear in multimedia archive and their statistical analysis, object auto-annotation based on co-occurrence analysis with metadata and annotation, self-taught object recognition system, and so on. Partial image detection and identification, as the most important technical component, will be implemented by extending our former research outcome of image/video copy detection and mining techniques.
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