Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
CCS |
2024-03-27 16:50 |
Hokkaido |
RUSUTSU RESORT |
JPEG Compression Quality Setting Considering Image Quality and Information Loss for Correlated Steganography Mariiko Aikawa, Sumiko Miyata (SIT), Kaito Hosono, Hirotsugu Kinoshita (KU) CCS2023-50 |
As more and more confidential information, including personal information, is transmitted and received over the Internet... [more] |
CCS2023-50 pp.64-69 |
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2024-02-20 14:30 |
Hokkaido |
Hokkaido Univ. |
Optimizing Division Schemes with Mixture of Experts for Medical Data Compression Jiancheng Zhao, Takefumi Ogawa (Utokyo) ITS2023-73 IE2023-62 |
Implicit Neural Representation (INR) is an emerging technique for data compression that utilizes the parameters of a Dee... [more] |
ITS2023-73 IE2023-62 pp.145-150 |
RECONF, VLD |
2024-01-29 15:30 |
Kanagawa |
AIRBIC Meeting Room 1-4 (Primary: On-site, Secondary: Online) |
An FPGA-based data compressor for state vector quantum simulators Kaijie Wei, Hideharu Amano (Keio Univ.), Ryohei Niwase (Tsukuba Univ.), Takefumi Miyoshi (WasaLabo), Yoshiki Yamaguchi (Tsukuba Univ.) VLD2023-87 RECONF2023-90 |
A quantum computer simulator is a tool to emulate the operation of a quantum computer on a classical computer. It is a c... [more] |
VLD2023-87 RECONF2023-90 pp.41-46 |
EMT, PN, MWPTHz, IEE-EMT [detail] |
2024-01-22 11:35 |
Kyoto |
Kyoto Univ. Yoshida Campus |
Reduction of influence of phase modulation for SBS mitigation on output power enhancement in photonic- based 10 GHz generation by optical pulse compression. Yuma Sakai, Keita Ogawa, Masayuki Suzuki, Hiroyuki Toda (Doshisha Univ) PN2023-50 EMT2023-90 MWPTHz2023-78 |
We numerically demonstrate reduction of influence of optical phase modulation for SBS mitigation on output power enhance... [more] |
PN2023-50 EMT2023-90 MWPTHz2023-78 pp.17-21 |
EMM |
2024-01-17 10:55 |
Miyagi |
Tohoku Univ. (Primary: On-site, Secondary: Online) |
Detecting Adversarial Examples using Filtering Operation Based on JPEG-Compression-Derived Distortion Kenta Tsunomori (Okayama Univ.), Minoru Kuribayashi (Tohoku Univ.), Nobuo Funabiki (Okayama Univ.) EMM2023-87 |
Image classifiers based on convolutional neural networks are caused misclassification by adversarial perturbations. In t... [more] |
EMM2023-87 pp.38-43 |
VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] |
2023-11-17 14:10 |
Kumamoto |
Civic Auditorium Sears Home Yume Hall (Primary: On-site, Secondary: Online) |
Configuration Data Compression for SLM Fine-grained Reconfigurable Logic Souhei Takagi, Takuya Kozima, Hideharu Amano (Keio Univ), Morihiro Kuga, Masahiro Iida (Kumamoto Univ) VLD2023-72 ICD2023-80 DC2023-79 RECONF2023-75 |
SLM (Scalable Logic Module) is a fine-grained reconfigurable logic developed by Kumamoto University, characterized by it... [more] |
VLD2023-72 ICD2023-80 DC2023-79 RECONF2023-75 pp.215-220 |
IT |
2023-08-03 14:30 |
Kanagawa |
Shonan Institute of Technology (Primary: On-site, Secondary: Online) |
An Asymmetric Encoding-Decoding Scheme for Lossless Data Compression Hirosuke Yamamoto (Univ. of Tokyo), Ken-ichi Iwata (Univ. of Fukui) IT2023-17 |
ANS (Asymmetric Numeral Systems) are new lossless data-compression-coding systems that can achieve almost the same compr... [more] |
IT2023-17 pp.17-22 |
US |
2023-06-16 15:00 |
Kyoto |
Muromachi Campus, Doshisha University |
Ultrasonic Micro-Displacement Measurement System with Thermophone for Non-Contact Cardiac Pulse Monitoring Takaaki Asada, Shinichi Sasaki, Yuma Watabe (Murata Mfg. Co., Ltd.) US2023-13 |
Non-contact vital sign monitoring is expected to be used for medical applications or driver health monitoring. Airborne ... [more] |
US2023-13 pp.20-25 |
SeMI, IPSJ-ITS, IPSJ-MBL, IPSJ-DPS |
2023-05-19 10:20 |
Okinawa |
Okinawa Institute of Science and Technology (OIST) (Primary: On-site, Secondary: Online) |
Evaluation of Multi-edge Object Detection System using Deep Feature Compression Transmission Kohji Yamada, Yuichiro Kora, Meguru Yamazaki, Xuying Lei (Fujitsu) SeMI2023-13 |
Collaborative Intelligence has been proposed to divide DNN model and perform inferences collaborating on edge and cloud.... [more] |
SeMI2023-13 pp.53-57 |
SR |
2023-05-11 15:10 |
Hokkaido |
Center of lifelong learning Kiran (Higashi Muroran) (Primary: On-site, Secondary: Online) |
[Short Paper]
Continuous Compressible Deep Joint Source Channel Coding Junichiro Yamada, Katsuya Suto (UEC) SR2023-11 |
Deep Joint Source Channel Coding (DeepJSCC), which designs a source and channel coding model with deep neural networks a... [more] |
SR2023-11 pp.58-60 |
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.) SITE2022-59 IA2022-82 |
Message digests that identify images are indispensable for secure and convenient copyright management of digital content... [more] |
SITE2022-59 IA2022-82 pp.28-34 |
IMQ, IE, MVE, CQ (Joint) [detail] |
2023-03-15 13:40 |
Okinawa |
Okinawaken Seinenkaikan (Naha-shi) (Primary: On-site, Secondary: Online) |
Performance Evaluations of Point Cloud Streaming Considering Perceptual Quality Yumeka Chujo, Yusuke Tagashira, Yuiko Harada, Kenji Kanai, Jiro Katto (Waseda Univ.) CQ2022-87 |
A point cloud streaming based on MPEG-Dynamic Adaptive Streaming over HTTP (DASH) is expected to realize highly immersiv... [more] |
CQ2022-87 pp.43-48 |
RCC, ISEC, IT, WBS |
2023-03-14 13:50 |
Yamaguchi |
(Primary: On-site, Secondary: Online) |
A Construction Method of Alphabetic Codes Allowing N-bit Decoding Delays Daichi Ueda, Ken-ichi Iwata (Univ. of Fukui), Hirosuke Yamamoto (The Univ. of Tokyo) IT2022-102 ISEC2022-81 WBS2022-99 RCC2022-99 |
As an extension of the AIFV and AIFV-m codes that allow decoding delay, Sugiura, Kamamoto, and Moriya proposed the N-bit... [more] |
IT2022-102 ISEC2022-81 WBS2022-99 RCC2022-99 pp.218-223 |
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 |
Compressing the signs of DCT coefficients is an intractable problem in image coding because of their equiprobable charac... [more] |
IE2022-55 p.19 |
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 |
NS, ICM, CQ, NV (Joint) |
2022-11-24 13:00 |
Fukuoka |
Humanities and Social Sciences Center, Fukuoka Univ. + Online (Primary: On-site, Secondary: Online) |
Optimal Data Communication Scheduling Considering 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 |
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 |
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) |
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 |
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 |