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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MSS, CAS, SIP, VLD | 2023-07-06 15:20 |
Hokkaido | (Primary: On-site, Secondary: Online) |
A Study on Golomb Coding for Scrambled Domain Layered Coding Compatible with JPEG XS Takayuki Nakachi (Univ. of the Ryukyus), Hiroyuki Kimiyama (Daido), Mitsuru Murayama (KAIST)  CAS2023-10 VLD2023-10 SIP2023-26 MSS2023-10 |
In this report, we propose a Golomb coding method for scrambled domain layered coding compatible with JPEG XS. The propo... [more] | CAS2023-10 VLD2023-10 SIP2023-26 MSS2023-10 pp.47-52 |
| 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 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-21 15:30 |
Hokkaido | Hokkaido Univ. | A Study on Adaptation Methods for Universal Deep Image Compression Koki Tsubota, Kiyoharu Aizawa (UTokyo) ITS2022-56 IE2022-73 |
In this study, we tackle universal deep image compression, which aims to compress images in arbitrary domains such as li... [more] | ITS2022-56 IE2022-73 pp.77-82 |
| CS, IE, IPSJ-AVM, ITE-BCT [detail] | 2022-11-25 10:40 |
Aichi | Nagoya Institute of Technology (Primary: On-site, Secondary: Online) |
CS2022-57 IE2022-45 |
(To be available after the conference date) [more] | CS2022-57 IE2022-45 pp.51-56 |
| SIS, ITE-BCT | 2022-10-13 13:55 |
Aomori | Hachinohe Institute of Technology (Primary: On-site, Secondary: Online) |
An 8K image perceptual scramble scheme for JPEG XS standard Takayuki Nakachi (Univ. of the Ryukyus), Hiroyuki Kimiyama (Daido), Mitsuru Murayama (KAIST) SIS2022-11 |
In this report, we propose a scrambled image compression algorithm for the JPEG XS standard. The JPEG XS is a low-delay,... [more] | SIS2022-11 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 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-21 13:15 |
Online | Online | Towards Universal Deep Image Compression Koki Tsubota (UTokyo), Hiroaki Akutsu (Hitachi), Kiyoharu Aizawa (UTokyo) ITS2021-31 IE2021-40 |
In this paper, we investigate deep image compression towards universal usage. In image compression, it is desirable to b... [more] | ITS2021-31 IE2021-40 pp.37-42 |
| OCS, CS (Joint) |
2022-01-13 14:30 |
Yamaguchi | Conference room 204A・B at KDDI Ishin-hall (Primary: On-site, Secondary: Online) |
Image Compression and Progressive Retransmission Scheme on Edge Computing System for Image Data Reduction Mutsuki Nakahara, Daisuke Hisano (Osaka Univ.), Mai Nishimura (OSX), Takayuki Nishio (Tokyo Tech.), Yoshitaka Ushiku (OSX), Kazuki Maruta (Tokyo Tech.), Yu Nakayama (Tokyo Univ. of Agriculture and Tech.) CS2021-69 |
Edge computing has been getting attention due to reducing the data traffic in the backbone network. On the other hand, t... [more] | CS2021-69 pp.7-12 |
| MVE, IMQ, IE, CQ (Joint) [detail] |
2021-03-01 13:50 |
Online | Online | Image Compression based on Deep Learning with Visual Spatial Frequency Characteristics Naoki Tada (Chiba Univ.), Tatsuki Adaniya (ADAWARP JAPAN Inc.), Keita Hirai (Chiba Univ.) IMQ2020-13 IE2020-53 MVE2020-45 |
(To be available after the conference date) [more] | IMQ2020-13 IE2020-53 MVE2020-45 pp.17-18 |
| SeMI, IPSJ-MBL, IPSJ-UBI [detail] | 2021-03-02 10:00 |
Online | Online | Traffic Reduction Method on Wireless Edge Computing by Retransmission Control Based on Image Recognition Accuracy Mutsuki Nakahara, Daisuke Hisano (Osaka Univ.), Mai Nishimura, Yoshitaka Ushiku (OSX), Kazuki Maruta (TIT), Yu Nakayama (TUAT) SeMI2020-62 |
In this paper, we propose a retransmission control system based on image recognition accuracy as a traffic reduction met... [more] | SeMI2020-62 pp.23-28 |
| 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 |
| 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 |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-06 14:50 |
Fukuoka | Kyushu Institute of Technology (Cancelled but technical report was issued) |
A high-compression video coding method for video analysis using Deep Learning Tomonori Kubota, Takanori Nakao, Eiji Yoshida (Fujitsu Lab.) IMQ2019-39 IE2019-121 MVE2019-60 |
In this paper, we propose a high-compression video coding method for video analysis using Deep Learning. The method anal... [more] | IMQ2019-39 IE2019-121 MVE2019-60 pp.121-126 |
| EMM | 2020-03-05 14:25 |
Okinawa | (Cancelled but technical report was issued) |
[Poster Presentation]
Extended EtC images for flexible data hiding and extracting Ryoichi Hirasawa, Shoko Imaizumi (Chiba Univ.), Hitoshi Kiya (Tokyo Metropolitan Univ.) EMM2019-109 |
This paper proposes a data hiding method for encrypted images by using an encryption-then-compression (EtC) system. Afte... [more] | EMM2019-109 pp.43-48 |
| NLP, NC (Joint) |
2020-01-24 11:10 |
Okinawa | Miyakojima Marine Terminal | Proposal of Compression Method for Planetary Surface Image using Sparse Coding Yoshifumi Uesaka, Hayaru Shouno (UEC) NC2019-65 |
In recent years, the demand for space development has been increasing. We treat an efficient image transmitting system f... [more] | NC2019-65 pp.33-38 |
| ITE-BCT, SIS | 2019-10-25 11:10 |
Fukui | Fukui International Activities Plaza | Image Compression in Encryption-then-Compression System Using Secure Sparse Representations Takayuki Nakachi (NTT), Hitoshi Kiya (Tokyo Metro. Univ.) SIS2019-21 |
n this paper, we propose a image compression method using secure sparse representations in Encryption-then-Compression (... [more] | SIS2019-21 pp.77-82 |
| IE | 2019-06-21 13:30 |
Okinawa | An image pre-transformation method to suppress recognition errors in highly compressed images Satoshi Suzuki, Motohiro Takagi, Kazuya Hayase, Takayuki Onishi, Atsushi Shimizu (NTT) IE2019-18 |
In image recognition, it is desirable to input an original image because image distortion leads to lower accuracy. Howe... [more] |
IE2019-18 pp.7-12 |
|
| SIP | 2017-08-24 15:40 |
Tokyo | Tokyo Denki University | [Special Invited Talk]
Cyber security in IoT Era Hiroshi Yasuda (TDU) |
This paper first describes research on image compression technology and related international standardization activity w... [more] | |
| 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 |
| IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2015-02-23 15:00 |
Hokkaido | Hokkaido Univ. | Depth Video Compression Using AEC Kazuki Itou (Chuo Univ.), Gene Cheung (NII), Akira Kubota (Chuo Univ.) ITS2014-58 IE2014-85 |
We propose a method that optimizes coding rate and distortion of depth map coding via two techniques - arithmetic edge c... [more] | ITS2014-58 IE2014-85 pp.213-216 |
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