Presentation | 2011-02-18 Mining Specific Actions from Youtube Video with Spatio-Temporal Features DO HANG NGA, Keiji YANAI, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we present a new method of automatically extracting from tagged Web videos the video-shots correspond to specific actions with just inputing the action keywords such as walking, eating etc. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Spatio-Temporal Feature / Web video / unsupervised learning |
Paper # | PRMU2010-233 |
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Committee | PRMU |
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Conference Date | 2011/2/10(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Mining Specific Actions from Youtube Video with Spatio-Temporal Features |
Sub Title (in English) | |
Keyword(1) | Spatio-Temporal Feature |
Keyword(2) | Web video |
Keyword(3) | unsupervised learning |
1st Author's Name | DO HANG NGA |
1st Author's Affiliation | The University of Electro-Communication() |
2nd Author's Name | Keiji YANAI |
2nd Author's Affiliation | The University of Electro-Communication |
Date | 2011-02-18 |
Paper # | PRMU2010-233 |
Volume (vol) | vol.110 |
Number (no) | 414 |
Page | pp.pp.- |
#Pages | 6 |
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