| Presentation | 2018-12-13 情景内文字のCNNによる拡大 Toshiki Nakamura, Seiichi Uchida, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The purpose of this research is magnifying scene texts using convolutional neural network (CNN) with end-to-end. We trained Encoder-Decoder type CNN composed of convolution/deconvolution using images magnified scene text without changing the center of gravity as teacher image. Also, we tried a method of magnifying scene texts by dividing the task into 4 of text erasing, text extraction, text magnifying, and image merging, and learning 4 CNNs for each, and combining them. Furthermore, we merging 1 CNN these 4 CNNs and fine tuned by reusing weights. In addition, we compare these results with text magnifying method using character detection and evaluated it quantitatively. |
| Keyword(in Japanese) | (See Japanese page) |
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| Paper # | PRMU2018-76 |
| Date of Issue | 2018-12-06 (PRMU) |
| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2018/12/13(2days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Chair | Shinichi Sato(NII) |
| Vice Chair | Yoshihisa Ijiri(Omron) / Toru Tamaki(Hiroshima Univ.) |
| Secretary | Yoshihisa Ijiri(NEC) / Toru Tamaki(Osaka Univ.) |
| Assistant | Go Irie(NTT) / Yoshitaka Ushiku(OSX) |
| Paper Information | |
| Registration To | Technical Committee on Pattern Recognition and Media Understanding |
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| Language | JPN-ONLY |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | |
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| 1st Author's Name | Toshiki Nakamura |
| 1st Author's Affiliation | Kyushu University(Kyushu Univ.) |
| 2nd Author's Name | Seiichi Uchida |
| 2nd Author's Affiliation | Kyushu University(Kyushu Univ.) |
| Date | 2018-12-13 |
| Paper # | PRMU2018-76 |
| Volume (vol) | vol.118 |
| Number (no) | PRMU-362 |
| Page | pp.pp.7-12(PRMU), |
| #Pages | 6 |
| Date of Issue | 2018-12-06 (PRMU) |