| Presentation | 2012-03-01 Image Attribute Class Detection by Using the EMD Hironobu FUKAI, Yasue MITSUKURA, Nozomu HAMADA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we describe a novel age and gender estimation using an empirical mode decomposition. Recently, an empirical mode decomposition that is a time-frequency analysis method are attracting attention. This algorithm do not have time-frequency trade-off such as short-time Fourier transform and wavelet transform, and decompose as summation of narrow band signal. These are merits and features of this algorithm. However, discussions of the effectiveness of this algorithm are still few. Therefore, we verify the effectiveness by actual example that are age and gender estimation using facial images. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | time-frequency analysis / empirical mode decomposition / facial image / age estimation / gender estimation |
| Paper # | SIS2011-53 |
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| Committee | SIS |
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| Conference Date | 2012/2/23(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Smart Info-Media Systems (SIS) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Image Attribute Class Detection by Using the EMD |
| Sub Title (in English) | |
| Keyword(1) | time-frequency analysis |
| Keyword(2) | empirical mode decomposition |
| Keyword(3) | facial image |
| Keyword(4) | age estimation |
| Keyword(5) | gender estimation |
| 1st Author's Name | Hironobu FUKAI |
| 1st Author's Affiliation | College of Information Science & Engineering, Ritsumeikan University() |
| 2nd Author's Name | Yasue MITSUKURA |
| 2nd Author's Affiliation | Faculty of Science and Technology, Keio University |
| 3rd Author's Name | Nozomu HAMADA |
| 3rd Author's Affiliation | Faculty of Science and Technology, Keio University |
| Date | 2012-03-01 |
| Paper # | SIS2011-53 |
| Volume (vol) | vol.111 |
| Number (no) | 457 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |