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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 423  /  [Next]  
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
 Results 1 - 20 of 423  /  [Next]  
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