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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 37  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
EMM, IT 2023-05-11
14:25
Kyoto Rakuyu Kaikan (Kyoto Univ. Yoshida-South Campus)
(Primary: On-site, Secondary: Online)
Reversible Control of Color Tones Using Data Hiding
DAichi Nakaya, Shoko Imaizumi (Chiba Univ.) IT2023-4 EMM2023-4
 [more] IT2023-4 EMM2023-4
pp.18-23
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 2023-03-02
13:00
Nagasaki Fukue culture hall
(Primary: On-site, Secondary: Online)
[Poster Presentation] Influence of Data Hiding for Transformer Encoder of ViT Using DM-QIM
Shuntaro Fukuoka, Shoko Imaizumi (Chiba Univ.) EMM2022-68
In this paper, we evaluate the influence of data hiding for vision transformer (ViT) models. Specifically, we embed a pa... [more] EMM2022-68
pp.7-12
EMM 2023-03-02
13:00
Nagasaki Fukue culture hall
(Primary: On-site, Secondary: Online)
[Poster Presentation] Reversible data hiding in encrypted domain for HDR images
Ryusuke Murase, Shoko Imaizumi (Chiba Univ.) EMM2022-69
In this paper, we propose a high-capacity reversible data hiding method for HDR images with the Radiance RGBE format (he... [more] EMM2022-69
pp.13-18
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
SIP 2022-08-25
13:39
Okinawa Nobumoto Ohama Memorial Hall (Ishigaki Island)
(Primary: On-site, Secondary: Online)
A Reversible Image Processing Method for Color Images with Flexible Control of Brightness
Yuki Sugimoto, Shoko Imaizumi (Chiba Univ.) SIP2022-53
This paper proposes a reversible image processing method for color images to achieve flexible control of brightness. We ... [more] SIP2022-53
pp.19-24
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
EMM 2022-03-08
11:15
Online (Primary: Online, Secondary: On-site)
(Primary: Online, Secondary: On-site)
An Extension of High-Capacity Reversible Data Hiding in Encrypted Images by Bit Plane Partition
Eichi Arai, Shoko Imaizumi (Chiba Univ.) EMM2021-114
In this paper, we extend a previous reversible data hiding method in encrypted images of high-capacity that uses bit-pla... [more] EMM2021-114
pp.118-123
EMM, EA, ASJ-H 2021-11-15
09:00
Online Online [Poster Presentation] An Extension of Reversible Image Enhancement Processing for Saturation and Brightness Contrast
Yuki Sugimoto, Shoko Imaizumi (Chiba Univ) EA2021-34 EMM2021-61
In this paper, we propose a reversible image processing method for color images. The proposed method not only enhances b... [more] EA2021-34 EMM2021-61
pp.43-48
SIS, IPSJ-AVM 2021-06-24
09:50
Online Online A Data Hiding Method Using Correlation Coefficients among Index Colors for Palette-Based Images
Eichi Arai, Shoko Imaizumi (Chiba Univ.) SIS2021-2
In this paper, we propose an extended data hiding method for palette-based images, which improves the marked image quali... [more] SIS2021-2
pp.7-12
SIS, IPSJ-AVM 2021-06-24
10:10
Online Online Improvement of Verification Accuracy Using CNN for Color Halftone Images
Yuto Matsuoka, Shoko Imaizumi, Takahiko Horiuchi (Chiba Univ.) SIS2021-3
In this paper, we propose an automatic collation method, which improves the verification accuracy against visual compari... [more] SIS2021-3
pp.13-18
EMM, IT 2021-05-21
14:00
Online Online An MSB Prediction-Based Method with Less Prediction Errors for Reversible Data Hiding in Encrypted Images
Kotaro Yamamura, Shoko Imaizumi (Chiba Univ.), Hitoshi Kiya (Tokyo Metropolitan Univ.) IT2021-13 EMM2021-13
In this paper, we propose an MSB prediction-based reversible data hiding method in encrypted images. The proposed method... [more] IT2021-13 EMM2021-13
pp.72-77
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 2021-03-04
13:30
Online Online [Poster Presentation] Object Boundary Correction for Monocular Depth Estimation Using Region Segmentation
Ikuma Yasukawa, Shoko Imaizumi (Chiba Univ.) EMM2020-67
We propose a new method to generate high-quality depth images in this paper. The proposed method corrects object boundar... [more] EMM2020-67
pp.1-6
EMM 2021-03-05
09:30
Online Online An MSB Prediction-Based Method Using Linear Regression for Reversible Data Hiding in Encrypted Images
Kotaro Yamamura, Ryoichi Hirasawa, Shoko Imaizumi (Chiba Univ.), Hitoshi Kiya (Tokyo Metropolitan Univ.) EMM2020-75
In this paper, we propose an MSB prediction-based reversible data hiding method using linear regression in encrypted dom... [more] EMM2020-75
pp.46-51
EMM 2021-03-05
09:55
Online Online A Reversible Image Processing Method for Saturation and Contrast Enhancement
Yuki Sugimoto, Shoko Imaizumi (Chiba Univ.) EMM2020-76
In this paper, we propose an image processing method for color images to enhance both saturation and contrast with rever... [more] EMM2020-76
pp.52-57
EMM 2021-01-28
15:15
Online Online An Extension of MSB Prediction-Based Method for Reversible Data Hiding in Encrypted Images
Ryoichi Hirasawa, Shoko Imaizumi (Chiba Univ.), Hitoshi Kiya (Tokyo Metropolitan Univ.) EMM2020-65
In this paper, we propose a high capacity MSB prediction-based method with sufficient reversibility for data hiding in e... [more] EMM2020-65
pp.25-30
EMM 2020-03-05
14:25
Okinawa
(Cancelled but technical report was issued)
[Poster Presentation] A Reversible Data Hiding Method for Stereoscopic Images with 2D/3D Viewing
Ikuma Yasukawa, Shoko Imaizumi (Chiba Univ.) EMM2019-107
This paper proposes a 2D/3D viewing method with a single image.
In the proposed method, the information to recover the ... [more]
EMM2019-107
pp.31-36
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
 Results 1 - 20 of 37  /  [Next]  
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