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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU |
2019-12-19 15:50 |
Oita |
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Report of the 23rd PRMU Algorithm Contest
-- 2019 PRMU Challenge on Old Japanese Character Recognition -- Tomo Miyazaki (Tohoku Univ.), Naoki Katsura (Tsukuba Univ.), Ayumu Nagai (Gunma Univ.), Toru Aoike (National Diet Library), Tang Yiping (Kyushu Univ.), Takuya Suzuki (Chukyo Univ.), Toru Tamaki (Hiroshima Univ.), Yusuke Uchida (DeNA), Masashi Nishiyama (Tottori Univ.), Takanori Ogata (ABEJA), Keiichiro Shirai (Shinshu Univ.), Kazuaki Nakamura (Osaka Univ.), Asanobu Kitamoto, Tarin Clanuwat (NII) PRMU2019-53 |
[more] |
PRMU2019-53 pp.41-47 |
PRMU, BioX |
2019-03-17 13:00 |
Tokyo |
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Report of the 22nd PRMU Algorithm Contest
-- Constructing a Cloned Model of Pattern Recognizers -- Kazuaki Nakamura (Osaka Univ.), Tomo Miyazaki (Tohoku Univ.), Daisuke Ishii (Fujitsu Lab.), Shuichi Akizuki (Keio Univ.), Yoshihiko Mochizuki (Waseda Univ.) BioX2018-37 PRMU2018-141 |
[more] |
BioX2018-37 PRMU2018-141 pp.49-57 |
PRMU, BioX |
2018-03-19 11:15 |
Tokyo |
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Report of the 21st PRMU Algorithm Contest
-- Kana Recognition in Historical Japanese Documents -- Tomo Miyazaki (Tohoku Univ.), Kawanishi Yasutomo (Nagoya Univ), Daisuke Ishii (Fujitsu Lab.), Kazuaki Nakamura (Osaka Univ.), Shuichi Akizuki (Keio Univ.) BioX2017-64 PRMU2017-200 |
(To be available after the conference date) [more] |
BioX2017-64 PRMU2017-200 pp.169-176 |
IE |
2016-07-01 09:45 |
Okinawa |
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Study on Compression of Images Including Text by Sparse Coding Keisuke Inoue, Tomo Miyazaki, Yoshihiro Sugaya, Shinichiro Omachi (Tohoku Univ.) IE2016-36 |
For the image and video coding, it is an important task to preserve important information while compressing it into smal... [more] |
IE2016-36 pp.5-10 |
PRMU, CNR |
2015-02-19 16:20 |
Miyagi |
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[Poster Presentation]
Ultra -low Resolution Character Recognition by Utilizing Multiple Frames Shuhei Toba, Hirotaka Kudo, Tomo Miyazaki, Yoshihiro Sugaya, Shinichiro Omachi (Tohoku Univ) PRMU2014-131 CNR2014-46 |
[more] |
PRMU2014-131 CNR2014-46 pp.95-96 |
PRMU, CNR |
2015-02-19 16:20 |
Miyagi |
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[Poster Presentation]
Efficient Split Compression Using Image Abstraction Ryosuke Ishimori, Tomo Miyazaki, Yoshihiro Sugaya, Shinichiro Omachi (Tohoku Univ.) PRMU2014-132 CNR2014-47 |
Recently, the number of images has become enormous by rapid spread of tablet devices, and image compression is important... [more] |
PRMU2014-132 CNR2014-47 pp.97-98 |
PRMU, CNR |
2015-02-19 16:20 |
Miyagi |
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[Poster Presentation]
Character Detection With Stroke Width Features From Scene Image Yasushi Oshima, Tomo Miyazaki, Yoshihiro Sugaya, Shinichiro Omachi (Tohoku Univ.) PRMU2014-133 CNR2014-48 |
We perform the character detection from the scene image. In this paper, character regions are extracted as connected com... [more] |
PRMU2014-133 CNR2014-48 pp.99-100 |
PRMU, CNR |
2015-02-19 16:20 |
Miyagi |
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[Poster Presentation]
Estimate of Viewpoint Positions in Environment Using Eye Tracker and Omnidirectional Camera Shun Chiba, Tomo Miyazaki, Yoshihiro Sugaya, Shinichiro Omachi (Tohoku Univ.) PRMU2014-134 CNR2014-49 |
In this work, we propose a method for estimating the user’s viewpoint position in the environment using images taken by ... [more] |
PRMU2014-134 CNR2014-49 pp.101-102 |
PRMU, CNR |
2014-02-13 16:10 |
Fukuoka |
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[Poster Presentation]
Character Region Extraction by Exploiting Auxiliary Lines Shiori Kawamura, Tomo Miyazaki, Yoshihiro Sugaya, Shinichiro Omachi (Tohoku Univ.) PRMU2013-152 CNR2013-60 |
Recently, the demand for character recognition in scene images is growing. However, complex background, non-uniform illu... [more] |
PRMU2013-152 CNR2013-60 pp.119-120 |
PRMU |
2007-10-25 17:50 |
Miyagi |
Hotel Matsushima Daikansou |
Extraction of Structure of Silhouette Images by Weighted Minimum Common Supergraph Tomo Miyazaki, Shinichiro Omachi, Hirotomo Aso (Tohoku Univ.) PRMU2007-100 |
It is desired to recognize objects which aredistorted or rotated in images.
Since it is difficult to recognize those o... [more] |
PRMU2007-100 pp.45-49 |
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