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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IA, SITE, IPSJ-IOT [detail] | 2023-03-16 15:35 |
Gunma | Maebashi Institute of Technology (Primary: On-site, Secondary: Online) |
Model compression by pruning of CNN based on perceptual hashes Shota Mishina, Tetsuya Morizumi, Hirotsugu Kinoshita (Kanagawa Univ.) |
(To be available after the conference date) [more] | |
| 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.) |
(To be available after the conference date) [more] | |
| IE | 2023-02-02 15:30 |
Tokyo | NII (Primary: On-site, Secondary: Online) |
[Invited Talk]
How Can We Compress Signs of DCT Coefficients in Image Coding?
-- A Method Inspired by Phase Retrieval -- Chihiro Tsutake (Nagoya Univ.)  IE2022-55 |
(To be available after the conference date) [more] | IE2022-55 p.19 |
| EMM | 2023-01-26 09:30 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Influence of Data Hiding in EtC-Image Classification with Vision Transformer Kosuke Abe, Shoko Imaizumi (Chiba Univ.), Hitoshi Kiya (Tokyo Metropolitan Univ.) EMM2022-61 |
A privacy-preserving image classification method with the vision transformer (ViT) was proposed in which the accuracy of... [more] | EMM2022-61 pp.1-6 |
| IT, RCS, SIP | 2023-01-24 10:25 |
Gunma | Maebashi Terrsa (Primary: On-site, Secondary: Online) |
An improved context tree switching method by dynamic expansion and pruning of context tree Masaya Ootsu, Hideki Yagi (UEC) IT2022-36 SIP2022-87 RCS2022-215 |
The Context Tree Weighting (CTW) method is a sequential lossless universal coding algorithm for tree sources with good p... [more] | IT2022-36 SIP2022-87 RCS2022-215 pp.42-47 |
| CS, IE, IPSJ-AVM, ITE-BCT [detail] | 2022-11-24 10:55 |
Aichi | Nagoya Institute of Technology (Primary: On-site, Secondary: Online) |
Performance Evaluations of Content-driven Point Cloud Streaming System Yumeka Chujo, Yusuke Tagashira, Kenji Kanai, Jiro Katto (Waseda Univ.) CS2022-49 IE2022-37 |
To realize a highly immersive communication service, handling multiple point cloud objects in parallel is required. Ther... [more] | CS2022-49 IE2022-37 pp.7-12 |
| NS, ICM, CQ, NV (Joint) |
2022-11-24 13:00 |
Fukuoka | Humanities and Social Sciences Center, Fukuoka Univ. + Online (Primary: On-site, Secondary: Online) |
Proposal for Optimal Communication Scheduling Using Multiple Data Compression Techniques in Distributed Deep Learning Fukuda Ryudai, Takuji Tachibana (Univ. Fukui) NS2022-105 |
In distributed deep learning, which uses multiple processors, the training time can be greatly reduced by executing the ... [more] | NS2022-105 pp.29-34 |
| RISING (3rd) |
2022-10-31 10:30 |
Kyoto | Kyoto Terrsa (Day 1), and Online (Day 2, 3) | [Poster Presentation]
Study of Data Collection System for Anomaly Detection by Ultrasonic Components of Mechanical Equipment Operating Sounds Rio Shigyo, Daiki Nobayashi, Kazuya Tsukamoto, Mitsunori Mizumachi, Takeshi Ikenaga (KIT) |
Status checks of mechanical equipment are typically being conducted by workers (manpower) at the actual place. However, ... [more] | |
| 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 |
| IA, CQ, MIKA (Joint) |
2022-09-16 15:45 |
Hokkaido | Hokkaido Citizens Actives Center (Primary: On-site, Secondary: Online) |
Study of Data Collection System for Ultrasonic Waves Based Anomaly Detection of Mechanical Equipment Rio Shigyo, Daiki Nobayashi, Kazuya Tsukamoto, Mitsunori Mizumachi, Takeshi Ikenaga (KIT) IA2022-32 |
Status checks of mechanical equipment are typically being conducted by workers (manpower). However, since the check timi... [more] | IA2022-32 pp.97-102 |
| US | 2022-07-29 14:20 |
Fukuoka | Kyushu Univ. (Chikushi Campus) | Improvement of SNR in contrast-enhanced ultrasound with unipolar-coded pulse compression Yuki Hagihara, Kenji Yoshida, Tadashi Yamaguchi, Shinnnosuke Hirata (Chiba Univ.) US2022-24 |
Contrast-enhanced ultrasound is a technique for selectively acquiring vascular images by visualizing only non-linear ech... [more] | US2022-24 pp.22-25 |
| IT | 2022-07-21 14:55 |
Okayama | Okayama University of Science (Primary: On-site, Secondary: Online) |
A Data Compression Method Where The Codeword Is a Computer Program Generating The Data Mitsuharu Arimura (Shonan Inst. Tech.) IT2022-19 |
The Kolmogorov complexity of a string is defined as the shortest length of the program on a Turing machine used to repre... [more] | IT2022-19 pp.18-23 |
| NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-15 09:40 |
Ishikawa | The Kanazawa Theatre + Online (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Evolution of Radio Access Network Brought by AI/ML Hiroyuki Kawai, Liu Liu, Issei Nakamura, Anxin Li, Yu Jiang, Lan Chen (DOCOMO Beijing Labs) RCC2022-32 NS2022-50 RCS2022-93 SR2022-35 SeMI2022-37 |
In the complicated and diversified radio access networks (RANs) in 5G and beyond, artificial intelligence (AI)/machine l... [more] | RCC2022-32 NS2022-50 RCS2022-93 SR2022-35 SeMI2022-37 p.64(RCC), p.119(NS), p.126(RCS), p.72(SR), p.81(SeMI) |
| AI | 2022-07-04 11:50 |
Hokkaido | (Primary: On-site, Secondary: Online) |
Efficient Query Solution and Highly Compressed Indexing for Large RDF Graphs Koji Fujiwara, Ken Kaneiwa (UEC) AI2022-6 |
The number and size of RDF graphs on the Web grow continuously and demand efficient solutions with compressed data stora... [more] | AI2022-6 pp.31-36 |
| CAS, SIP, VLD, MSS | 2022-06-16 15:05 |
Aomori | Hachinohe Institute of Technology (Primary: On-site, Secondary: Online) |
Image Classification Using Vision Transformer for Compressible Encrypted Images Genki Hamano, Shoko Imaizumi (Chiba Univ.), Hitoshi Kiya (Tokyo Metropolitan Univ.) CAS2022-8 VLD2022-8 SIP2022-39 MSS2022-8 |
In this paper, we propose an image classification method for compressible encrypted images without losing classification... [more] | CAS2022-8 VLD2022-8 SIP2022-39 MSS2022-8 pp.40-45 |
| 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 |
| IT, EMM | 2022-05-17 15:30 |
Gifu | Gifu University (Primary: On-site, Secondary: Online) |
A study of adversarial example detection using the correlation between adversarial noise and JPEG compression-derived distortion Kenta Tsunomori, Yuma Yamasaki, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.), Isao Echizen (NII) IT2022-6 EMM2022-6 |
Adversarial examples cause misclassification of image classifiers. Higashi et al. proposed a method to detect adversari... [more] | IT2022-6 EMM2022-6 pp.29-34 |
| IT, ISEC, RCC, WBS | 2022-03-10 16:50 |
Online | Online | [Special Invited Talk]
A spread of Information Theory Researches Hirosuke Yamamoto (U.Tokyo) IT2021-103 ISEC2021-68 WBS2021-71 RCC2021-78 |
We look back on the research themes dealt with in our researches of information theory for 47 years, and think about the... [more] | IT2021-103 ISEC2021-68 WBS2021-71 RCC2021-78 pp.117-121 |
| EMM | 2022-03-08 09:55 |
Online | (Primary: Online, Secondary: On-site) (Primary: Online, Secondary: On-site) |
[Poster Presentation]
Study on JPEG Compression Resistant Watermarking Method Trained with Quantized Activation Function Shingo Yamauchi, Masaki Kawamura (Yamaguchi Univ.) EMM2021-110 |
We propose a watermarking method that introduces a quantized activation function to acquire robustness against quantizat... [more] | EMM2021-110 pp.95-100 |
| EMM | 2022-03-08 10:25 |
Online | (Primary: Online, Secondary: On-site) (Primary: Online, Secondary: On-site) |
[Poster Presentation]
Influence of Data Hiding in Etc-Image Classification with SVM Kosuke Abe, Shoko Imaizumi (Chiba Univ.), Hitoshi Kiya (Tokyo Metropolitan Univ.) EMM2021-112 |
Classification accuracy for Encryption-then-Comperssion (EtC) images by support vector machine(SVM) is comparable to tha... [more] | EMM2021-112 pp.107-111 |
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