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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 60  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
EMM 2024-01-17
09:30
Miyagi Tohoku Univ.
(Primary: On-site, Secondary: Online)
A Reversible Data Hiding Method in Compressible Encrypted Domain for OpenEXR Images
Noa Kikuchi, Shoko Imaizumi (Chiba Univ.) EMM2023-84
In this paper, we propose a method to achieve high-capacity reversible data hiding (RDH) for OpenEXR images with compres... [more] EMM2023-84
pp.20-25
SIS 2023-12-08
12:00
Aichi Sakurayama Campus, Nagoya City University
(Primary: On-site, Secondary: Online)
Study on Nonlinear Image Decoloring Method Using Sequentially Updated Basis
Daichi Hiroe, Go Tanaka (Nagoya City Univ.) SIS2023-40
Decoloring of color images is a useful technique for data compression, reduction of printing costs, and support for colo... [more] SIS2023-40
pp.89-94
CS 2023-07-28
14:10
Tokyo Hachijo-machi Chamber of Commerce and Industry Impact of Learning Models on Deep Joint Source Channel Coding Adaptable to 5G Systems
Ryunosuke Yamamoto, Keigo Matsumoto, Yoshiaki Inoue (Osaka Univ.), Yuko Hara-Azumi (Tokyo Tech), Kazuki Maruta (TUS), Yu Nakayama (TUAT), Daisuke Hisano (Osaka Univ.) CS2023-56
With the development of 5G technology and the proliferation of IoT devices, Deep Joint Source-Channel Coding (Deep JSCC)... [more] CS2023-56
pp.151-156
SIS, IPSJ-AVM [detail] 2023-06-16
13:00
Shimane NIT, Matsue College
(Primary: On-site, Secondary: Online)
Application of Sequentially Updated Signed Color Distance to Image Decoloring Method Based on Linear Projection and Study on Definition of Signed Color Distance
Daichi Hiroe, Go Tanaka (Nagoya City Univ.) SIS2023-13
Color removal of images is a useful technique in terms of data compression, printing cost reduction, and so on and is in... [more] SIS2023-13
pp.67-72
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
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
HWS, ICD 2022-10-25
16:40
Shiga
(Primary: On-site, Secondary: Online)
A Study on Small Area HMAC-SHA256 Circuit suitable for CMOS Image Sensor
Yu Sekioka, Tatsuya Oyama, Hayato Tatsuno, Kota Yoshida, Shunsuke Okura, Takeshi Fujino (Ritsumeikan Univ) HWS2022-42 ICD2022-34
In order to realize data integrity and authentication for the edge imaging devices and to prevent the image information ... [more] HWS2022-42 ICD2022-34
pp.70-75
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
EMM, IT 2021-05-21
13:10
Online Online A Study of Detecting Adversarial Examples Using Sensitivities to Multiple Auto Encoders
Yuma Yamasaki, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.), Huy Hong Nguyen, Isao Echizen (NII) IT2021-11 EMM2021-11
By removing the small perturbations involved in adversarial examples, the image classification result returns to the cor... [more] IT2021-11 EMM2021-11
pp.60-65
EMM, IT 2021-05-21
14:25
Online Online A reversible data hiding method with high flexibility in compressive encrypted images
Ryota Motomura, Shoko Imaizumi (Chiba Univ.), Hitoshi Kiya (Tokyo Metropolitan Univ.) IT2021-14 EMM2021-14
In this paper, we propose a reversible data hiding method in encrypted images, where both the com-pression efficiency an... [more] IT2021-14 EMM2021-14
pp.78-83
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
SIS 2019-12-12
15:15
Okayama Okayama University of Science A Reversible Data Hiding Method for Both Plain and Encrypted Images
Yusuke Izawa, Ryoichi Hirasawa, Shoko Imaizumi (Chiba Univ.), Hitoshi Kiya (TMU) SIS2019-28
In this paper, we propose a reversible data hiding method, where the data embedded into the original image can be extrac... [more] SIS2019-28
pp.29-34
HCS, HIP, HI-SIGCOASTER [detail] 2019-05-17
11:15
Okinawa Okinawa Industry Support Center Subjective Evaluation of a Rate Control Scheme Compatible with Legacy JPEG Decoder for Video Advertisement on Mobile Devices
Shun Aoki, Takuro Oki, Risako Aoki, Shingo Kobayashi, Ryusuke Miyamoto (Meiji Univ.), Makoto Iguchi (CMerTV) HCS2019-18 HIP2019-18
In most websites for mobile devices, CSS image sprites are widely used to play consecutive images that
represent a vide... [more]
HCS2019-18 HIP2019-18
pp.125-130
IMQ, IE, MVE, CQ
(Joint) [detail]
2019-03-14
15:45
Kagoshima Kagoshima University Quantization Adaptive Recurrent Neural Network for Image Compression
Rige Su, Zhengxue Cheng, Jiro Katto (Waseda Univ.) IMQ2018-48 IE2018-132 MVE2018-79
Image compression is a means of applying data compression technology to digital images. The purpose is to reduce redunda... [more] IMQ2018-48 IE2018-132 MVE2018-79
pp.149-151
HCGSYMPO
(2nd)

Mie Sinfonia Technology Hibiki Hall Ise An application of CNN to finger range images for numerical recognition
Haruki Okada, Shigeru Akamatsu (Hosei Univ.)
In this study, we investigated a recognition system of static finger numeric characters 0-9 through the depth image obta... [more]
IEE-CMN, EMM, LOIS, IE, ITE-ME [detail] 2018-09-27
13:50
Oita Beppu Int'l Convention Ctr. aka B-CON Plaza Image Patch Modeling in Encrypted Domain using Sparse Coding
Takayuki Nakachi (NTT), Hitoshi Kiya (Tokyo Metro. Univ.) LOIS2018-12 IE2018-32 EMM2018-51
Sparse coding represents observed signals effectively as a linear combination of a small number of bases which are chose... [more] LOIS2018-12 IE2018-32 EMM2018-51
pp.13-18
CS 2018-07-13
10:30
Okinawa Eef Information Plaza (Kumejima Is.) A Study of Video-coding for Ultra-low Latency Network Transmission
Kaito Mori, Seiji Mochizuki (Nihon Univ.), Kousuke Imamura, Yoshio Matsuda (Kanazawa Univ.), Tetsuya Matsumura (Nihon Univ.) CS2018-37
Autonomous driving for vehicles and MR(Mixed Reality) for IoT(Internet of Things) equipment require ultra-low-latency vi... [more] CS2018-37
pp.121-126
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