Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] |
2023-11-17 14:50 |
Kumamoto |
Civic Auditorium Sears Home Yume Hall (Primary: On-site, Secondary: Online) |
Hardware Compression Method Applying Bernoulli Approximation for Bayesian Neural Networks Taisei Saito, Kota Ando, Tetsuya Asai (Hokkaido Univ.) VLD2023-73 ICD2023-81 DC2023-80 RECONF2023-76 |
This study focuses on efficiently lightweighting Bayesian deep learning algorithms and implementing them on FPGA. It com... [more] |
VLD2023-73 ICD2023-81 DC2023-80 RECONF2023-76 pp.221-226 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2023-03-02 11:25 |
Hokkaido |
Future University Hakodate (Primary: On-site, Secondary: Online) |
Binarization of Vision Transformer with Scaling Factors Shun Sato, Shun Sawada, Hidefumi Ohmura, Kouichi katsurada (TUS) PRMU2022-83 IBISML2022-90 |
1bit neural network optimization is an optimization technique that achieves a significant increase in computational spee... [more] |
PRMU2022-83 IBISML2022-90 pp.134-139 |
PRMU, IPSJ-CVIM |
2022-05-13 15:05 |
Aichi |
Toyota Technological Institute |
Automated original drawing tracing for animation Iori Shioya, Masayuki Kashima, Shinya Fukumoto, Mutsumi Watanabe (Kagoshima Univ.) PRMU2022-7 |
This paper proposes an automatic system for cleaning up images. The system attempts to improve the existing cleanup proc... [more] |
PRMU2022-7 pp.36-41 |
PRMU, CNR |
2019-03-01 13:30 |
Tokushima |
|
Recognition of Color Characters in Scene Images via Optimal Binarization and Distortion-tolerant Image Matching Masato Suzuki, Toru Wakahara (Hosei Univ.) PRMU2018-130 CNR2018-53 |
This paper proposes an efficient combination of optimal binarization and distortion-tolerant image matching for color ch... [more] |
PRMU2018-130 CNR2018-53 pp.89-94 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
Learning Hierarchical Structure via Nearest Neighbor Search and Formal Concept Analysis Yuka Yoneda (Osaka Univ.), Mahito Sugiyama (NII), Takashi Washio (Osaka Univ.) IBISML2018-53 |
We propose to learn a hierarchical structure of clusters from continuous data via two-step procedure:
We first binariz... [more] |
IBISML2018-53 pp.69-73 |
MI |
2017-01-18 14:15 |
Okinawa |
Tenbusu Naha |
A Study of Image Binarization based on Multiple Resolution Analysis of Digital Flow Analysis Kenji Honda (TUMST), Makoto Sato (TITECH) MI2016-109 |
Recently, research fields called bioimage informatics for obtaining quantitative data of cell images by a computer has g... [more] |
MI2016-109 pp.145-150 |
MVE |
2014-10-09 13:55 |
Hokkaido |
|
A Study of Image Binarization based on Digital Flow Analysis Kenji Honda (Univ. of Marine Science and Tech.), Makoto Sato (Tokyo Inst. of Tech.) MVE2014-38 |
For image recognition and understanding, it is one of the fundamental problems to divide the image into
a target and a... [more] |
MVE2014-38 pp.43-48 |
PRMU, CNR |
2014-02-13 16:10 |
Fukuoka |
|
[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 |
ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] |
2013-02-18 15:00 |
Hokkaido |
Hokkaido Univ. |
Character Extraction from Color Document Images with Complex Background Hiroyuki Tokuchi, Yousuke Iwami, Junji Maeda (Muroran Inst. of Tech.) ITS2012-30 IE2012-110 |
The purpose of this research is to extract the characters from color document images with complex background such as jou... [more] |
ITS2012-30 IE2012-110 pp.65-70 |
PRMU, MVE, IPSJ-CVIM (Joint) [detail] |
2013-01-24 15:15 |
Kyoto |
|
Binarization and Recognition of Color Characters in Scene Images Using K-means Clustering via Automatic Selection of the Number of Clusters and Support Vector Machines Kotaro Endo, Toru Wakahara (Hosei Univ.) PRMU2012-121 MVE2012-86 |
This paper proposes a new method for binalizing color characters in scene images using K-means clustering and support ve... [more] |
PRMU2012-121 MVE2012-86 pp.323-328 |
MBE |
2012-10-11 10:20 |
Osaka |
Osaka Electro-Communication University |
Evaluation of Automatic Cropping Method of Chest X-ray Image Masataka Imura (Osaka Univ.), Yoshito Tabata, Rikuta Ishigaki (Kyoto MSC), Yoshihiro Kuroda, Osamu Oshiro (Osaka Univ.) MBE2012-36 |
The spread of digital of X-ray imaging forces radiation technologists to crop X-ray images manually after measurement. T... [more] |
MBE2012-36 pp.1-4 |
ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] |
2012-02-21 14:00 |
Hokkaido |
Hokkaido Univ. |
Character Extraction from Color Document Images with Complex Background Yuichiro Sakamoto, Hiroyuki Tokuchi, Junji Maeda (Muroran IT) ITS2011-53 IE2011-129 |
The purpose of this research is to extract the characters from color document images with complex background such as jou... [more] |
ITS2011-53 IE2011-129 pp.307-312 |
ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] |
2011-02-22 11:50 |
Hokkaido |
Hokkaido University |
Character Extraction from Color Document Images with Complex Background Kouta Fujisaki, Yuuichirou Sakamoto, Junji Maeda (Muroran IT) |
The purpose of this research is to extract the characters from color document images with complex background such as jou... [more] |
|
PRMU, FM |
2010-12-10 15:50 |
Yamaguchi |
|
Binarization of Color Character Strings in Scene Images Using K-means Clustering and Support Vector Machines Kohei Kita, Toru Wakahara (Hosei Univ.) PRMU2010-147 |
This paper proposes a new technique for binalizing color character strings in scene images. The key ideas are as follows... [more] |
PRMU2010-147 pp.113-118 |
PRMU, HIP |
2010-06-25 10:40 |
Aomori |
|
Automatic facial features extraction for face recognition
-- Edge detection applied to anatomical region recognition -- Kousuke Abe, Yoshihiko Hayakawa (Kitami Inst. of Tech.) PRMU2010-49 HIP2010-38 |
It is necessary to extract structural features of facial organs for the face recognition, and the accuracy in the extrac... [more] |
PRMU2010-49 HIP2010-38 pp.65-68 |
PRMU |
2008-02-21 11:00 |
Ibaraki |
Univ. of Tsukuba |
Ruled Line Extraction Method using Corrective Thresholding and Linearity Evaluation Hiroshi Tanaka, Yusaku Fujii, Hiroaki Takebe, Katsuhito Fujimoto (Fujitsu Labs.) PRMU2007-216 |
This paper describes enhancements of the ruled line extraction method using threshold correction and linearity evaluatio... [more] |
PRMU2007-216 pp.13-18 |
PRMU |
2007-10-26 11:00 |
Miyagi |
Hotel Matsushima Daikansou |
A Study on Optimal Binarization and Distortion-Tolerant Recognition of Color Characters in Scene Images Minoru Yokobayashi, Toru Wakahara (Hosei Univ.) PRMU2007-110 |
The proposed method of optimal binarization of color characters in scene images is based on selection of one optimal pro... [more] |
PRMU2007-110 pp.105-110 |
PRMU, MI |
2007-05-24 11:10 |
Mie |
Mie Univ. |
A Binarization Method Suitable for Recognition of Images with Continuous and Discontinuous Difference of Brightness Tomohisa Suzuki, Naoaki Kodaira, Hiroyuki Mizutani (Toshiba Solutions), Hiroaki Nakai, Yasuo Shinohara (Toshiba) PRMU2007-6 MI2007-6 |
In this paper, we introduce a binarization method suitable for recognition of images under influence of spatially contin... [more] |
PRMU2007-6 MI2007-6 pp.29-34 |
PRMU |
2007-03-16 16:00 |
Okayama |
|
Binarizing training sample images for Viola-Jones face detectors Hiroaki Inayoshi, Takio Kurita (AIST) |
After Viola and Jones
have proposed a rapid object detection
method based on a boosted cascade of rectangular feature... [more] |
PRMU2006-280 pp.149-154 |
NLP |
2006-07-03 13:20 |
Ishikawa |
Kanazawa Univ. |
A Spatial Domain Sigma-Delta Modulator Using Discrete Time Cellular Neural Networks Hisashi Aomori (Sophia Univ.), Tsuyoshi Otake (Tamagawa Univ.), Nobuaki Takahashi (IBM Japan, Ltd.), Mamoru Tanaka (Sophia Univ.) |
In this paper, a novel spatial domain sigma-delta modulator using discrete-time cellular neural networks (DT-CNNs) is pr... [more] |
NLP2006-24 pp.13-18 |