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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 29件中 1~20件目  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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.)
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)
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.)
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.)
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.)
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.)
 [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)
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.)
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)
 [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.)
 [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)
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)
 [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.)
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)
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.)
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
NLP 2010-03-09
08:30
Tokyo   Oversampling Sigma-Delta Cellular Neural Networks using MASH
Masatake Hirano (Sophia Univ.), Hisashi Aomori (Tokyo Univ. of Sci.), Tsuyoshi Otake (Tamagawa Univ.), Mamoru Tanaka (Sophia Univ.)
The sigma-delta cellular neural network (SD-CNN) is a novel framework of spatial domain sigma-delta modulation
utilizin... [more]
NLP2009-157
pp.1-4
NLP 2010-03-10
08:45
Tokyo   Local Dynamics Effect by Rotation Map in Area Intensity Quantization in CNN
Masatoshi Kataoka, Ryo Sekiyama, Tomoko Keino (Sophia Univ.), Hisashi Aomori (Tokyo university of sci.), Mamoru Tanaka (Sophia Univ.)
 [more] NLP2009-169
pp.65-68
NLP 2009-12-21
15:15
Iwate   Annealing Method for Cellular Neural Networks
Takefumi Konishi (Sophia Univ.), Hisashi Aomori (Tokyo Univ. of Sience), Tsuyoshi Otake (Tamagawa Univ.), Nobuaki Takahashi (IBM), Ichiro Matsuda, Susumu Itoh (Tokyo Univ. of Sience), Mamoru Tanaka (Sophia Univ.)
In this paper, a novel lossless image coding method based on the lifting wavelet transform using discrete-time cellular ... [more] NLP2009-135
pp.49-52
NLP 2009-11-14
14:45
Kagoshima   Effect of Piecewise Linear Function on Maximum-Flow Neural Network
Masatoshi Sato (Sophia Univ), Hisashi Aomori (Tokyo Univ. of Science), Mamoru Tanaka (Sophia Univ)
In our previous research, the Maximum-Flow Neural Network (MF-NN) was proposed, and we showed that the MF-NN is possible... [more] NLP2009-124
pp.237-242
NLP 2009-11-14
15:05
Kagoshima   Oversampling Sigma-Delta Cellular Neural Networks
Hisashi Aomori (Tokyo Univ. of Science), Tsuyoshi Otake (Tamagawa Univ.), Nobuaki Takahashi (IBM Japan), Ichiro Matsuda, Susumu Itoh (Tokyo Univ. of Science), Mamoru Tanaka (Sophia Univ.)
 [more] NLP2009-125
pp.243-248
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