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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 34  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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.)
 [more]
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
NC, NLP, IPSJ-BIO [detail] 2010-06-18
16:00
Okinawa Ryukyu-daigaku-gozyu-syunen-kinenn-kaikan Hierarchical Lossless Image Coding Using Cellular Neural Network
Seiya Takenouchi, Hisashi Aomori (Tokyo Univ. of Science), Tsuyoshi Otake (Tamagawa Univ.), Mamoru Tanaka (Sophia Univ.), Ichiro Matsuda, Susumu Itoh (Tokyo Univ. of Science) NLP2010-11 NC2010-11
In this paper, a hierarchical lossless image coding scheme using cellular neural network (CNN) is proposed. The coding a... [more] NLP2010-11 NC2010-11
pp.69-73
IE 2010-03-15
17:20
Miyagi RIEC Bldg. #2, 4gh Floor, Tohoku Univ. Lossless Re-encoding of MPEG-1 Video with Quarter-Pel Motion Compensation
Kei Wakabayashi, Hisashi Aomori, Ichiro Matsuda, Susumu Itoh (Tokyo Univ. of Science), Sei Naito, Shigeyuki Sakazawa (KDDI R&D Lab.) IE2009-196
We are developing an efficient lossless re-encoding scheme for video data which are already encoded by the MPEG-1 video ... [more] IE2009-196
pp.97-102
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