| Project/Area Number |
23650044
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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 |
Media informatics/Database
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| Research Institution | The University of Electro-Communications |
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Principal Investigator |
YANAI Keiji 電気通信大学, 情報理工学(系)研究科, 准教授 (20301179)
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| Project Period (FY) |
2011 – 2013
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2013: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2012: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2011: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | 動作認識 / ビデオ認識 / Webマルチメディアマイニング / Web動画 / 画像認識 / 一般物体認識 / Web動画分類 / Web動画マイニング / 動画像認識 / 時空間特徴量 / 動作分類 / 物体認識 |
|---|
| Research Abstract |
After the three-year research activities on this research grant, we have obtained the following results: (1) A new method to collect video shots corresponding to the given keywords from the Web video sharing site such as YouTube. (2) A method to improve (1) by using results of Web image search engines additionally. (3) A novel method, VisualTextualRank, for efficient use of relations between words and video shots. (4) A method to extract new spatio-temporal features by paying attention to human hands motion, which helps effectively recognize and analyze interactions between objects and human hands.
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