| IEICE Technical Committee Submission System Conference Schedule |
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All Technical Committee Conferences (Searched in: Recent 10 Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIS | 2025-03-07 10:10 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Tokyo, Online) (Primary: On-site, Secondary: Online) |
A Study of Lossless compression of Image for Hardware processing Hiroki Terasaki (KAIT), Takashi Suzuki (MicroTechnica), Tomoaki Kimura (KAIT) |
(To be available after the conference date) [more] | |
| NLP, CAS | 2024-10-17 11:40 |
Tottori | Information Center, Tottori University (Tottori) | Hierarchical lossless RGB color image coding by CNN predictors with color difference prediction Yoshiki Nimi, Shuichi Tajima (Chukyo Univ.), Hideharu Toda (Tohoku Bunka Gakuen Univ.), Tsuyoshi Otake (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.)  CAS2024-33 NLP2024-63 |
We are developing a hierarchical lossless image coding scheme using cellular neural networks (CNNs) as image predictors.... [more] | CAS2024-33 NLP2024-63 pp.33-38 |
| NLP, CCS | 2024-06-06 16:45 |
Fukuoka | West Japan General Exhibition Center AIM (Fukuoka) | 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) NLP2024-27 CCS2024-14 |
The widespread of compact and inexpensive RGB-D sensors has recently led to the increased utilization of RGB-D images in... [more] | NLP2024-27 CCS2024-14 pp.57-60 |
| NLP | 2024-05-10 11:20 |
Kagawa | Kagawa Prefecture Social Welfare Center (Kagawa) | 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.) NLP2024-13 |
Colorization is the process that restores colors on a grayscale image. Recently, various colorization-based encoding me... [more] |
NLP2024-13 pp.63-67 |
| NC, MBE, NLP, MICT (Joint) [detail] |
2024-01-24 10:00 |
Tokushima | Naruto University of Education (Tokushima) | 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 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-21 11:10 |
Hokkaido | Hokkaido Univ. (Hokkaido) | [Special Talk]
Study of Probability Modeling for Lossless Image Coding Using Example Search and Adaptive Prediction Hiroki Kojima (KDDI), Yasuyo Kita, Ichiro Matsuda (Tokyo Univ. of Science) ITS2022-46 IE2022-63 |
Many efficient lossless image coding methods predict the next pel value to be coded from the pels already coded, and rem... [more] | ITS2022-46 IE2022-63 p.25 |
| CAS, NLP | 2022-10-20 14:55 |
Niigata | (Niigata, Online) (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 |
| IT, EMM | 2022-05-17 13:25 |
Gifu | Gifu University (Gifu, Online) (Primary: On-site, Secondary: Online) |
A Note on Time-Varying Two-Dimensional Autoregressive Models and the Bayes Codes Yuta Nakahara, Toshiyasu Matsushima (Waseda Univ.) IT2022-2 EMM2022-2 |
This paper proposes a two-dimensional autoregressive model with time-varying parameters as a stochastic model for explai... [more] | IT2022-2 EMM2022-2 pp.7-12 |
| CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-10 15:00 |
Online | Online (Zoom) (Online) | [Special Talk]
Lossless Image Coding using Inpainting-Oriented Deep Pixel Predictor Keita Takahashi (Nagoya Univ.) IMQ2021-31 CQ2021-122 IE2021-93 MVE2021-60 |
I will be presenting our previous paper that received IE special Award 2020 to encourage discussions for future directio... [more] | IMQ2021-31 CQ2021-122 IE2021-93 MVE2021-60 p.114(IMQ), p.124(CQ), p.114(IE), p.114(MVE) |
| IE, SIP, BioX, ITE-IST, ITE-ME [detail] | 2021-06-03 16:00 |
Online | Online (Online) | Fast Implementation of the Lossless Image Coding Method Based on Example Search and Probability Model Optimization Hiroki Kojima, Yusuke Kameda, Yasuyo Kita, Ichiro Matsuda, Susumu Itoh (Tokyo Univ of Science.) SIP2021-3 BioX2021-3 IE2021-3 |
We previously proposed a lossless image coding method based on example search and probability model optimization. In the... [more] | SIP2021-3 BioX2021-3 IE2021-3 pp.10-14 |
| IE | 2021-01-21 13:00 |
Online | Online (Online) | Comparing Pixel Predictors with Different Coding Order for Lossless Image Coding Aki Kunieda, Keita Takahashi, Toshiaki Fujii (Nagoya Univ.) IE2020-34 |
The efficiency of lossless image coding depends on the pixel predictors, with which unknown pixels are predicted from al... [more] | IE2020-34 pp.1-6 |
| IE | 2021-01-21 14:00 |
Online | Online (Online) | [Invited Talk]
Lossless Image/Video Coding Method Based on Probability Model Estimation and Optimization Kyohei Unno (KDDI Research) IE2020-36 |
In this talk, the lossless image/video coding method that is proposed by the author is introduced. The proposed method e... [more] | IE2020-36 p.8 |
| SIP, IT, RCS | 2021-01-22 15:15 |
Online | Online (Online) | An Image Generative Model with Various Auto-regressive Coefficients Depending on Neighboring Pixels and the Bayes Code for It Masahiro Takano, Yuta Nakahara, Toshiyasu Matsushima (Waseda Univ.) IT2020-108 SIP2020-86 RCS2020-199 |
In this papar, we propose an expanded model of an autoregressive stochastic generative model for images. This model cont... [more] | IT2020-108 SIP2020-86 RCS2020-199 pp.253-258 |
| IT, EMM | 2020-05-28 15:25 |
Online | Online (Online) | An Autoregressive Image Generative Model and the Bayes Code for It Yuta Nakahara, Toshiyasu Matsushima (Waseda Univ.) IT2020-4 EMM2020-4 |
In this paper, we propose an autoregressive stochastic generative model for images. This model should be one of the mos... [more] |
IT2020-4 EMM2020-4 pp.19-24 |
| NLP | 2018-08-08 15:25 |
Kagawa | Saiwai-cho Campus, Kagawa Univ. (Kagawa) | 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 | 2017-03-14 11:15 |
Aomori | Nebuta Museum Warasse (Aomori) | 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 |
| PRMU, IE, MI, SIP | 2016-05-20 15:40 |
Aichi | (Aichi) | Multi-hypothesis Pixel Predictor using Cartesian Genetic Programming Yiding Zhao, Seishi Takamura (NTT) SIP2016-33 IE2016-33 PRMU2016-33 MI2016-33 |
In lossless image coding, pixel prediction plays an important role in utilizing adjacent pixel values to reduce residual... [more] | SIP2016-33 IE2016-33 PRMU2016-33 MI2016-33 pp.173-178 |
| EMM | 2016-03-02 15:40 |
Kagoshima | Yakushima Environ. and Cultural Vill. Center (Kagoshima) | [Poster Presentation]
A Perceptual Encryption Scheme for Lossless Image Coding Based on Visual Difficulty Yuya Nakao, Shoko Imaizumi, Naokazu Aoki (Chiba Univ.) EMM2015-85 |
We propose an extended perceptual encryption scheme for lossless image coding in this paper. The proposed method improve... [more] | EMM2015-85 pp.51-56 |
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