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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 10 of 10  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
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
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
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
RCS, NS
(Joint)
2021-12-16
10:35
Nara Nara-ken Bunka Kaikan and Online
(Primary: On-site, Secondary: Online)
Highly efficient multi-hop transmission using encryption-then-compression based on CRC-aided Polar code
Ryota Yatsu, Koji Ishibashi (UEC), Hideki Endo, Sota Tsuchiya (Tokyo Gas) RCS2021-175
Packet aggregation with compression has been proposed as one of the methods in order to reduce the transmission time, wh... [more] RCS2021-175
pp.1-6
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
EMM 2019-03-13
14:05
Okinawa TBD [Poster Presentation] A privacy preserving culculation method of eigenface using EtC images
Masaki Kitayama, Hitoshi Kiya (Tokyo Metro. Univ.) EMM2018-91
In this paper, we propose a face recognition scheme using eigenface and kernel eigenface with EtC (Encryption-then-Compr... [more] EMM2018-91
pp.1-6
IEE-CMN, EMM, LOIS, IE, ITE-ME [detail] 2018-09-27
13:25
Oita Beppu Int'l Convention Ctr. aka B-CON Plaza SVM Computing Considering Dimension Reduction in the Encrypted Domain
Ayana Kawamura, Takahiro Maekawa, Yuma Kinoshita, Hitoshi Kiya (Tokyo Metropolitan Univ.) LOIS2018-11 IE2018-31 EMM2018-50
In this paper, we propose a SVM computing scheme with EtC images, and evaluate the effectiveness of the proposed scheme,... [more] LOIS2018-11 IE2018-31 EMM2018-50
pp.7-12
SIS, IPSJ-AVM, ITE-3DMT [detail] 2018-06-07
10:00
Hokkaido Jozankei View Hotel SVM Computing Using EtC Images in the Encrypted Domain
Ayana Kawamura, Takahiro Maekawa, Yuma Kinoshita, Hitoshi Kiya (Tokyo Metro. Univ.) SIS2018-1
In this paper, we propose a SVM computing scheme with EtC images, and evaluate the effectiveness of the proposed scheme,... [more] SIS2018-1
pp.1-6
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