Presentation | 2015-02-20 Human Action Retrieval Based on Temporal Matching Mengxi LIN, Nakamasa INOUE, Koichi SHINODA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper focuses on human action retrieval, which aims to retrieve video segments from a video database based on an action of interest specified on-the-fly by a user. In this work, we focus on capturing temporal information of actions and propose to utilize Dynamic Time Warping (DTW) to measure the temporal distortion and difference between a pair of actions. Temporal motion saliency of a query video is introduced to re-rank the retrieval results. We evaluate our method in the Breakfast dataset and show that our method is more effective than the baselines, which do not consider any temporal orders of actions. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | action retrieval / action localization / temporal matching / DTW |
Paper # | PRMU2014-139,CNR2014-54 |
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Committee | CNR |
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Conference Date | 2015/2/12(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Cloud Network Robotics (CNR) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Human Action Retrieval Based on Temporal Matching |
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Keyword(1) | action retrieval |
Keyword(2) | action localization |
Keyword(3) | temporal matching |
Keyword(4) | DTW |
1st Author's Name | Mengxi LIN |
1st Author's Affiliation | Department of Computer Science, Tokyo Institute of Technology() |
2nd Author's Name | Nakamasa INOUE |
2nd Author's Affiliation | Department of Computer Science, Tokyo Institute of Technology |
3rd Author's Name | Koichi SHINODA |
3rd Author's Affiliation | Department of Computer Science, Tokyo Institute of Technology |
Date | 2015-02-20 |
Paper # | PRMU2014-139,CNR2014-54 |
Volume (vol) | vol.114 |
Number (no) | 455 |
Page | pp.pp.- |
#Pages | 6 |
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