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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 149  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, MBE, NLP, MICT
(Joint) [detail]
2024-01-24
10:00
Tokushima Naruto University of Education Hierarchical lossless compression of high dynamic range images using predictors based on cellular neural networks
Seiya Kushi, Kazuki Nakashima, Hideharu Toda (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.) NLP2023-85 MICT2023-40 MBE2023-31
We have been developing a scalable lossless coding method using cellular neural networks (CNN) as predictors. This metho... [more] NLP2023-85 MICT2023-40 MBE2023-31
pp.12-15
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
SIP 2023-08-07
12:50
Osaka Osaka Univ. (Suita) Convention Center
(Primary: On-site, Secondary: Online)
An Extension of Image Encryption for Vision Transformer Considering Privacy Protection
Haiwei Lin, Shoko Imaizumi (Chiba Univ.), Kiya Hitoshi (Tokyo Metropolitan Univ) SIP2023-46
In this paper, we propose an extended framework of access control for Vision Transformer (ViT).
The previous study acc... [more]
SIP2023-46
pp.1-6
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
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
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
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
IMQ, IE, MVE, CQ
(Joint) [detail]
2023-03-16
15:15
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
A Method for Fast Compression of Sign Bits of DCT Coefficients in Image Coding
Fuma Ito, Chihiro Tsutake, Keita Takahashi, Toshiaki Fujii (Nagoya Univ.) IMQ2022-56 IE2022-133 MVE2022-86
Compressing the signs of DCT coefficients is an intractable problem in image coding because of their equiprobable charac... [more] IMQ2022-56 IE2022-133 MVE2022-86
pp.178-181
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
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
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-22
14:30
Hokkaido Hokkaido Univ. Image Division Based Interframe Prediction Method with Reduced Frame Memory for Ultra-Low-Latency Video-coding
Mai Yamaguchi, Matsumura Tetsuya (Nihon Univ.)
In this paper, we propose a new inter-frame prediction method for Ultra-Low-Latency Video-coding. The proposed method re... [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
Compressing the signs of DCT coefficients is an intractable problem in image coding because of their equiprobable charac... [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
VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] 2022-11-30
16:15
Kumamoto  
(Primary: On-site, Secondary: Online)
FPGA Implementation of Learned Image Compression
Heming Sun (Waseda U), Qingyang Yi (UTokyo), Jiro Katto (Waseda U), Masahiro Fujita (UTokyo) VLD2022-53 ICD2022-70 DC2022-69 RECONF2022-76
Learned image compression (LIC) has reached a superior coding gain than traditional hand-crafted standards such as JPEG ... [more] VLD2022-53 ICD2022-70 DC2022-69 RECONF2022-76
pp.194-199
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
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
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
 Results 1 - 20 of 149  /  [Next]  
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