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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IT, EMM | 2024-05-30 16:00 |
Chiba | Chiba University (Nishi-Chiba Campus) | Asymmetric encoding-decoding schemes for first-order Markov sources Hirosuke Yamamoto (U. of Tokyo), Ken-ichi Iwata (U.of Fukui) |
(To be available after the conference date) [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.)  NLP2024-13 |
(To be available after the conference date) [more] | NLP2024-13 pp.63-67 |
| 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 |
| BioX, SIP, IE, ITE-IST, ITE-ME [detail] | 2023-05-18 15:15 |
Mie | Sansui Hall, Mie University (Primary: On-site, Secondary: Online) |
SIP2023-5 BioX2023-5 IE2023-5 |
Compressing video and images with lossy compression degrades input data.Therefore, image quality evaluation is necessary... [more] | SIP2023-5 BioX2023-5 IE2023-5 pp.16-21 |
| EMM | 2023-03-02 13:00 |
Nagasaki | Fukue culture hall (Primary: On-site, Secondary: Online) |
[Poster Presentation]
An extension of reversible data hiding in encrypted images with high compression performance and flexible processing order Eichi Arai, Shoko Imaizumi (Chiba Univ.) EMM2022-67 |
In this paper, we propose a reversible data hiding in encrypted images (RDH-EI) method that achieves both a high compres... [more] | EMM2022-67 pp.1-6 |
| IT, EMM | 2022-05-17 13:25 |
Gifu | Gifu University (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 |
| RCS, SIP, IT | 2022-01-21 10:55 |
Online | Online | A lossless audio codec based on hierarchical residual prediction Taiyo Mineo, Shouno Hayaru (UEC) IT2021-71 SIP2021-79 RCS2021-239 |
In this study, we propose a novel lossless audio codec that has precise predictive performance from the neural network a... [more] | IT2021-71 SIP2021-79 RCS2021-239 pp.239-244 |
| COMP | 2021-10-23 13:15 |
Online | Online | [Invited Talk]
Optimal-Time Queries on BWT-runs Compressed Indexes Takaaki Nishimoto, Yasuo Tabei (RIKEN) COMP2021-16 |
Indexing highly repetitive strings (i.e., strings with many repetitions) for fast queries has become a central research ... [more] | COMP2021-16 p.19 |
| SIP, IT, RCS | 2021-01-22 15:15 |
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 |
| SIP | 2020-08-28 10:30 |
Online | Online | Improvement Convergence Rate of the Sign Algorithm by Natural Gradient Method Taiyo Mineo, Hayaru Shouno (UEC) SIP2020-34 |
In lossless audio compression, it is essential to predictive residuals to be sparse, since we apply entropy codings to r... [more] | SIP2020-34 pp.19-24 |
| IT, EMM | 2020-05-28 15:25 |
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 |
| IT | 2017-07-13 16:20 |
Chiba | Chiba University | [Invited Talk]
Compression by Substring Enumeration and its Related Methods Hidetoshi Yokoo (Gunma Univ.) IT2017-26 |
This paper surveys the universal data compression method known as Compression by Substring Enumeration (CSE), developed ... [more] | IT2017-26 pp.55-60 |
| EA, EMM | 2016-11-17 16:40 |
Oita | Compal Hall (Oita) | An Extension of Block-Permutation-Based-Encryption Schemes for Lossless Image Compression Takeshi Ogasawara, Shoko Imaizumi (Chiba Univ.), Hitoshi Kiya (TMU) EA2016-55 EMM2016-61 |
This paper proposes a permutation-based image encryption scheme for lossless coded images. The conventional scheme gener... [more] | EA2016-55 EMM2016-61 pp.43-48 |
| RECONF | 2016-05-19 14:15 |
Kanagawa | FUJITSU LAB. | Efficiency Execution of Split Circuit in a Scalable Hardware System by Signal Compression Yoshio Murata, Hironari Yoshiuchi, Hironori Nakajo (TUAT) RECONF2016-8 |
(To be available after the conference date) [more] | RECONF2016-8 pp.35-40 |
| IT, EMM | 2016-05-20 10:40 |
Hokkaido | Otaru Economic Center | A Grammar-Based Data Compression Algorithm Using Chomsky Normal Form of Context Free Grammar Mitsuharu Arimura (Shonan Inst. Tech.) IT2016-12 EMM2016-12 |
This paper proposes a new class of grammar-based lossless source code. For the simplicity, a Semi-Chomsky Normal Form (s... [more] | IT2016-12 EMM2016-12 pp.69-74 |
| PRMU, IE, MI, SIP | 2016-05-20 15:40 |
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 |
|
| SIS, IPSJ-AVM | 2015-09-03 14:00 |
Osaka | Kansai Univ. | A Study on Lossless coding for Binary Holographic Interference Fringes Takahiro Nishigaito, Mitsuji Muneyasu, Kyoji Matsushima (Kansai Univ.), Akira Taguchi (Tokyo City Univ.) SIS2015-19 |
This paper studies a compression technique for binary holographic interference fringes. Computer generating holography i... [more] | SIS2015-19 pp.25-30 |
| IE, ITE-ME, IPSJ-AVM, ITE-CE [detail] | 2015-08-03 13:00 |
Tokyo | Tokyo Metropolitan Univ. | An Image Encryption Method Allowing Lossless Compression Kenta Kurihara, Sayaka Shiota, Hitoshi Kiya (Tokyo Metro. Univ.) IE2015-49 |
Conventional secure image transmission is based on a Compression-then-Encryption system where image encryption has to be... [more] | IE2015-49 pp.19-24 |
| IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2015-02-23 15:15 |
Hokkaido | Hokkaido Univ. | Improvement of PNG Image Compression by Optimizing Filter Selection Teppei Takahashi, Akira Kubota (Chuo Univ.) ITS2014-59 IE2014-86 |
In this paper, we propose an optimal filter selection to improve PNG (Portable Network Graphics) compression. This metho... [more] | ITS2014-59 IE2014-86 pp.217-221 |
| CAS, SIP, MSS, VLD, SIS [detail] | 2014-07-10 09:50 |
Hokkaido | Hokkaido University | Near-lossless image coding considering the influence of re-encoding Hiroyuki Kobayashi (Tokyo Metro. Coll. of Ind. of Tech.), Masahiro Iwahashi (Nagaoka Univ. of Tech.), Hitoshi Kiya (Tokyo Metro. Univ.) CAS2014-22 VLD2014-31 SIP2014-43 MSS2014-22 SIS2014-22 |
This report proposes a new quantization method, called zero-skip quantization and a near-lossless coding method based on... [more] | CAS2014-22 VLD2014-31 SIP2014-43 MSS2014-22 SIS2014-22 pp.111-116 |
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