Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NLP, CCS |
2024-06-06 16:35 |
Fukuoka |
West Japan General Exhibition Center AIM |
Hierarchical lossless depth image compression based on depth map colorization by cellular neural networks Tasuku Kuroda, Seiya Kushi, Shungo Saizuka (Chukyo Univ), Tsuyoshi Otake (Tamagawa Univ), Hisashi Aomori (Chukyo Univ) |
[more] |
|
NLP |
2024-05-10 11:20 |
Kagawa |
Kagawa Prefecture Social Welfare Center |
Lossless Color Image Compression Based on Colorization by Cellular Neural Networks Shungo Saizuka, Seiya Kushi, Tasuku Kuroda (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.) |
(To be available after the conference date) [more] |
|
NC, MBE, NLP, MICT (Joint) [detail] |
2024-01-24 10:00 |
Tokushima |
Naruto University of Education |
Hierarchical lossless compression of high dynamic range images using predictors based on cellular neural networks Seiya Kushi, Kazuki Nakashima, Hideharu Toda (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.) NLP2023-85 MICT2023-40 MBE2023-31 |
We have been developing a scalable lossless coding method using cellular neural networks (CNN) as predictors. This metho... [more] |
NLP2023-85 MICT2023-40 MBE2023-31 pp.12-15 |
NLP |
2023-11-29 10:40 |
Okinawa |
Nago city commerce and industry association |
A Study on General Purpose Data Transmission Scheme Using SD-CNN with Coupled Cells Koki Koase (Chukyo Univ.), Ryoichi Shibata (Aiphon Co.), Hideharu Toda (Chukyo Univ.), Taishi Iriyama (Saitama Univ.), Tsuyoshi Otake (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.) NLP2023-71 |
The sigma-delta cellular neural network (SD-CNN) is an artificial vision system that mimics the retina of biology. SD-CN... [more] |
NLP2023-71 pp.53-56 |
CAS, NLP |
2022-10-20 14:55 |
Niigata |
(Primary: On-site, Secondary: Online) |
Hierarchical Lossless Coding with Arithmetic Coders for Each CNN Predictor Kazuki Nakashima, Ryo Nakazawa, Hideharu Toda, Hisashi Aomori (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Ichiro Matsuda, Susumu Itoh (TUS) CAS2022-23 NLP2022-43 |
We have been developing a scalable lossless coding method using the cellular neural networks (CNN) as predictors.
This ... [more] |
CAS2022-23 NLP2022-43 pp.20-24 |
CCS, NLP |
2022-06-09 16:25 |
Osaka |
(Primary: On-site, Secondary: Online) |
User-guided Image Colorization by Cellular Neural Network Shungo Saizuka, Yuto Ozeki, Tasuku Kuroda (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.) NLP2022-8 CCS2022-8 |
Many historically attractive and valuable images are taken as gray-scale images.
On the other hand, since color informa... [more] |
NLP2022-8 CCS2022-8 pp.36-39 |
NLP, CCS |
2021-06-11 11:50 |
Online |
Online |
A Study on Image Compression Method based on Color Quantization Method by Sigma-Delta Cellular Neural Network Fumitoshi Nakashima, Yuka Ito, Ai Mizuno (Chukyo Univ.), Ryohei Mizutani (YAMAZAKI MAZAK), Misa Fujita (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ), Hisashi Aomori (Chukyo Univ.) NLP2021-5 CCS2021-5 |
In recent years, Web services have become common and their use has been widespread.
The PNG image format is basically u... [more] |
NLP2021-5 CCS2021-5 pp.20-23 |
NLP |
2018-08-08 15:00 |
Kagawa |
Saiwai-cho Campus, Kagawa Univ. |
Super-Resolution Reconstruction Using Adaptive Nearest Neighbor Interpolation by Iterative Back-Projection Ryuya Ukai, Ryohei Mizutani, Yuki kawai, Teruki Uchida, Hideharu Toda (Chukyo Univ.), Tsuyoshi Otake, Masatoshi Sato (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.) NLP2018-58 |
The pixel density of display devices are improving, and the importance of the resolution as a criteria to determine the ... [more] |
NLP2018-58 pp.31-34 |
NLP |
2018-08-08 15:25 |
Kagawa |
Saiwai-cho Campus, Kagawa Univ. |
Hierarchical Lossless Image Coding Using CNN Predictors Optimized by Adaptive Differential Evolution Yuki Kawai, Yuki Nagano, Hideharu Toda, Hisashi Aomori (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Ichiro Matsuda, Susumu Itoh (TUS) NLP2018-59 |
We have been proposed on hierarchical lossless image coding using predictors composed of Cellular Neural Network(CNN).Th... [more] |
NLP2018-59 pp.35-38 |
NLP |
2017-07-13 15:45 |
Okinawa |
Miyako Island Marine Terminal |
A Study of Image Inpainting Methods by using SD-CNN Ryohei Mizutani, Hideharu Toda, Hisashi Aomori (Chukyo Univ.), Sathit Prasomphan (King Mongkut Univ. of Tech. North Bangkok), Mamoru Tanaka (Sophia Univ.) NLP2017-37 |
In recent years, the practical use of digital images have been progressed because of the popularization and advance of i... [more] |
NLP2017-37 pp.53-57 |
NLP |
2017-03-14 11:15 |
Aomori |
Nebuta Museum Warasse |
Hierarchical Lossless Image Coding using Inheritance of Predictor-Prototypes and Designing of CNN Predictors based on Estimate of Coding Bits Hideharu Toda (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Ichiro Matsuda, Susumu Itoh (TUS), Hisashi Aomori (Chukyo Univ.) NLP2016-109 |
We proposed a hierarchical lossless image coding method using cellular neural network (CNN). It performs adaptive multi ... [more] |
NLP2016-109 pp.19-24 |
NLP |
2016-12-13 10:30 |
Aichi |
Chukyo Univ. |
Particle Swarm Optimization with Refractory Period of Particle Velocity Update Yuki Nagano, Hideharu Toda (Chukyo Univ.), Masatoshi Sato (Tokyo Metropolitan Univ.), Hisashi Aomori (Chukyo Univ.) NLP2016-94 |
Particle Swarm Optimization (PSO) is one of the metaheuristics where each particles in a swarm searches an optimal solut... [more] |
NLP2016-94 pp.55-59 |
NLP |
2013-04-25 10:00 |
Aichi |
Nagoya campus, Chukyo University |
Designing and Evaluation of CNN Predictors based on Weighted Feature Quantity and Estimate of Coding Bits Keisuke Takizawa (Tokyo Univ. of Science), Hisashi Aomori (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Ichiro Matsuda, Susumu Itoh (Tokyo Univ. of Science), Mamoru Tanaka (Sophia Univ.) NLP2013-1 |
[more] |
NLP2013-1 pp.1-6 |
ITE-ME, ITE-AIT, IE [detail] |
2011-11-11 10:15 |
Fukuoka |
|
A Fundamental Study on Arithmetic Coding of Motion Vectors Using Multi-Peaked Probability Models Yuya Itoh, Hisashi Aomori, Ichiro Matsuda, Susumu Itoh (Tokyo Univ. of Science) IE2011-80 |
In modern video coding schemes, as techniques of motion compensated prediction are highly developed,efficient coding of ... [more] |
IE2011-80 pp.19-24 |
NLP |
2011-07-01 14:10 |
Hokkaido |
Shari-cho Kohminkan: Yme-hall Shiretoko |
Image Processings of a Leaky Integrated-and-Fire Neuron by CNN Shintaro Maezawa (Sophia Univ.), Hisashi Aomori (TUS), Mamoru Tanaka (Sophia Univ.) NLP2011-44 |
LIFN(Leaky Integrated-and-Fire Neuron) is one of the neural circuit models of human. LIFN is a kind of spiking neuron. I... [more] |
NLP2011-44 pp.113-118 |
NLP |
2011-07-01 14:35 |
Hokkaido |
Shari-cho Kohminkan: Yme-hall Shiretoko |
Coding Rate Minimization Learning Method for CNN Image Predictors in Lossless Image Coding Scheme by Particle Swarm Optimization Keisuke Takizawa, Seiya Takenouchi, Hisashi Aomori (Tokyo Univ. of Science), Tsuyoshi Otake (Tamagawa Univ.), Mamoru Tanaka (Sophia Univ.), Ichiro Matsuda, Susumu Itoh (Tokyo Univ. of Science) NLP2011-45 |
[more] |
NLP2011-45 pp.119-124 |
NLP |
2011-07-01 16:35 |
Hokkaido |
Shari-cho Kohminkan: Yme-hall Shiretoko |
Application of frequency response data of transfer function by Covariance Structure Analysis Daiki Yanagi (Sophia Univ.), Hisashi Aomori (TUS), Mamoru Tanaka (Sophia Univ.) NLP2011-49 |
[more] |
NLP2011-49 pp.141-146 |
IE |
2011-04-22 15:25 |
Tokyo |
Chuo Univ. |
An Experiment on Image Approximation Using Deformable Continuous Functions Takahiro Shimizu, Hisashi Aomori, Ichiro Matsuda, Susumu Itoh (Tokyo Univ. of Science) IE2011-5 |
Matching Pursuits, known as a method of approximating signal waveforms by a linear combination of overcomplete basis-fun... [more] |
IE2011-5 pp.25-30 |
IE, ITE-ME, ITE-CE [detail] |
2010-07-26 15:50 |
Kagoshima |
|
Image Presentation System Using a Head-Mounted Projector Takeshi Kobatake, Ichiro Matsuda, Hisashi Aomori, Susumu Itoh (Tokyo Univ of Science) IE2010-51 |
[more] |
IE2010-51 pp.25-28 |
IE, ITE-ME, ITE-CE [detail] |
2010-07-27 13:00 |
Kagoshima |
|
Optimization of Block-Adaptive Spatio-Temporal Predictors for Video Coding Kyohei Unno, Hisashi Aomori, Ichiro Matsuda, Susumu Itoh (Tokyo Univ. of Sci.) IE2010-57 |
The H.264/AVC video coding standard alternatively switches motion-compensated prediction and intra-frame prediction on ... [more] |
IE2010-57 pp.71-76 |