| Presentation | 2012-10-04 Efficient Labeling Method Using Clustering For Image Recognition Ryo SHIRASU, Jien KATO, Kenji MASE, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recent years, with the rapid popularization of digital cameras, the amount of photo data that individuals can keep has grown to a huge amount. In order to organize them efficiently, it is necessary to develop methods and technologies that can recognize their contents. In this work, we focus on reducing the manual labeling effort that is necessary for such image recognition task. The key idea is that features that are characteristic for the "common classes" are also discriminative for classifying "specific class", and can help to find the photo which is "worth for labeling". Our proposed method consists of two steps: 1) select the features that are effective in classifying "common classes" through SVM training; and 2) use the selected features to find photos that are "worth for labeling" in the photo album through clustering. We tested the proposed method in image recognition task on a large photo album which consists of 21424 photos taken from a kindergarten. The result confirmed that the proposed method outperform the baseline methods under different experiment setting. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Image Recognition / Clustering / Labeling / Feature Selection / Active Learning |
| Paper # | PRMU2012-51 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2012/9/27(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| 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) | Efficient Labeling Method Using Clustering For Image Recognition |
| Sub Title (in English) | |
| Keyword(1) | Image Recognition |
| Keyword(2) | Clustering |
| Keyword(3) | Labeling |
| Keyword(4) | Feature Selection |
| Keyword(5) | Active Learning |
| 1st Author's Name | Ryo SHIRASU |
| 1st Author's Affiliation | Graduate School of Information Science Nagoya University() |
| 2nd Author's Name | Jien KATO |
| 2nd Author's Affiliation | Graduate School of Information Science Nagoya University |
| 3rd Author's Name | Kenji MASE |
| 3rd Author's Affiliation | Graduate School of Information Science Nagoya University |
| Date | 2012-10-04 |
| Paper # | PRMU2012-51 |
| Volume (vol) | vol.112 |
| Number (no) | 225 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |