Presentation | 2007-12-13 Tagging Video Contents Based on Interest Estimation from Facial Expression Masanori MIYAHARA, Masaki AOKI, Tetsuya TAKIGUCHI, Yasuo ARIKI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Recently, there are so many videos available for people to choose to watch. To solve this problem, we propose a tagging system for video content based on facial expression that can be used for video content recommendations. Viewer's face captured by a camera is extracted by Elastic Bunch Graph Matching, and Interest class is estimated by Support Vector Machines. The interest classes are Neutral, Positive, Negative and Rejective. They are recorded as "interest tags" in synchronization with video content. Experimental results achieved an averaged recall rate of 87.61%, and averaged precision rate of 88.03%. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Tagging video contents / Facial expression / Elastic Bunch Graph Matching / Support Vector Machines |
Paper # | PRMU2007-137 |
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Committee | PRMU |
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Conference Date | 2007/12/6(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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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) | Tagging Video Contents Based on Interest Estimation from Facial Expression |
Sub Title (in English) | |
Keyword(1) | Tagging video contents |
Keyword(2) | Facial expression |
Keyword(3) | Elastic Bunch Graph Matching |
Keyword(4) | Support Vector Machines |
1st Author's Name | Masanori MIYAHARA |
1st Author's Affiliation | Graduate School of Engineering, Kobe University() |
2nd Author's Name | Masaki AOKI |
2nd Author's Affiliation | Graduate School of Engineering, Kobe University |
3rd Author's Name | Tetsuya TAKIGUCHI |
3rd Author's Affiliation | Organization of Advanced Science and Technology, Kobe University |
4th Author's Name | Yasuo ARIKI |
4th Author's Affiliation | Organization of Advanced Science and Technology, Kobe University |
Date | 2007-12-13 |
Paper # | PRMU2007-137 |
Volume (vol) | vol.107 |
Number (no) | 384 |
Page | pp.pp.- |
#Pages | 6 |
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