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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 114  /  [Next]  
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 2024-01-17
09:55
Miyagi Tohoku Univ.
(Primary: On-site, Secondary: Online)
An encryption method of JPEG bitstreams for partially disclosing visual information
Mare Hirose, Shoko Imaizumi (Chiba Univ.), Kiya Hitoshi (Tokyo Metropolitan Univ) EMM2023-85
In this paper, we propose an encryption method for JPEG codestreams in which the file size is invariant before and after... [more] EMM2023-85
pp.26-31
EMM 2024-01-17
10:55
Miyagi Tohoku Univ.
(Primary: On-site, Secondary: Online)
Detecting Adversarial Examples using Filtering Operation Based on JPEG-Compression-Derived Distortion
Kenta Tsunomori (Okayama Univ.), Minoru Kuribayashi (Tohoku Univ.), Nobuo Funabiki (Okayama Univ.) EMM2023-87
Image classifiers based on convolutional neural networks are caused misclassification by adversarial perturbations. In t... [more] EMM2023-87
pp.38-43
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 2023-03-02
13:30
Chiba Chiba Institute of Technology
(Primary: On-site, Secondary: Online)
An image watermarking method using adversarial perturbations
Sei Takano, Mitsuji Muneyasu, Soh Yoshida (Kansai Univ.) SIS2022-43
The performance of convolutional neural networks (CNNs) has been dramatically improved in recent years, and they have at... [more] SIS2022-43
pp.15-20
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
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
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, IT 2021-05-21
13:35
Online Online A Study on Feature Extraction Suitable for Double JPEG Compression Analysis Based on Statistical Bias Observation of DCT Coefficients
Daichi Takeshita, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.) IT2021-12 EMM2021-12
Pictures taken by smart phones and camera devices are generally compressed by JPEG by default when they are saved. If su... [more] IT2021-12 EMM2021-12
pp.66-71
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2021-02-18
14:50
Online Online Production and Evaluation of Data Set for Semantic Segmentation of 3D CG Image by H.265/HEVC
Norifumi Kawabata (Tokyo Univ. of Science) ITS2020-30 IE2020-44
As one of purpose of study on image segmentation, we are able to consider whether between object and background region c... [more] ITS2020-30 IE2020-44
pp.19-24
EA, ASJ-H, EMM 2020-11-20
09:00
Online Online [Poster Presentation] Evaluation on JPEG Image Compression History Analysis Using Histogram of DCT Coefficients with Different Block Size
Naoya Nakajima, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.) EA2020-30 EMM2020-45
The image taken with a digital comera is usually JPEG-compressed when saved. On the other hand, the tampered image is ca... [more] EA2020-30 EMM2020-45
pp.48-53
PRMU 2020-09-02
15:30
Online Online Evaluation and Analysis of JPEG Compression Effects on CNN-based Camera Model Classification
Mai Uchida, Yoichi Tomioka (UoA) PRMU2020-13
In order to prevent crimes such as illegal uploading and secret photography, a method to identify the camera that captur... [more] PRMU2020-13
pp.35-40
IE, IMQ, MVE, CQ
(Joint) [detail]
2020-03-06
14:25
Fukuoka Kyushu Institute of Technology
(Cancelled but technical report was issued)
Image Tampering Detection and Self-Recovery by Using Robust Digital Watermark against JPEG Compression
Shuhei Ohara, Masayuki Kurosaki, Ochi Hiroshi (Kyutech) IMQ2019-38 IE2019-120 MVE2019-59
Recently, with the tremendous diffuser of smartphones, the SNS users rate has increased to 74.7 %
in 2018. Users can ea... [more]
IMQ2019-38 IE2019-120 MVE2019-59
pp.115-120
NLP, NC
(Joint)
2020-01-24
11:10
Okinawa Miyakojima Marine Terminal Proposal of Compression Method for Planetary Surface Image using Sparse Coding
Yoshifumi Uesaka, Hayaru Shouno (UEC) NC2019-65
In recent years, the demand for space development has been increasing. We treat an efficient image transmitting system f... [more] NC2019-65
pp.33-38
CQ, CBE
(Joint)
2020-01-17
13:40
Tokyo NHK Science & Technology Research Laboratories A Method of Glossiness Preserving Image Coding
Tomoyuki Takanashi, Midori Tanaka, Takahiko Horiuchi (Chiba Univ.) CQ2019-130
Image coding plays an important role to reduce their cost for storage or transmission. Current image coding techniques u... [more] CQ2019-130
pp.131-136
HCS, HIP, HI-SIGCE [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
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
EMM 2019-03-13
14:05
Okinawa TBD [Poster Presentation] Digital watermarking method using CNN including a robust extractor neural network against rotation
Ippei Hamamoto, Masaki Kawamura (Yamaguchi Univ.) EMM2018-92
We propose a digital watermarking method using neural networks, which can learn robust embedding and extraction processe... [more] EMM2018-92
pp.7-12
SIS 2019-03-06
13:20
Tokyo Tokyo Univ. Science, Katsushika Campus A Study of Low-Energy Video Encoding Method for Raspberry Pi
Atsuki Fukumoto, Takashi Imagawa (Ritsumeikan Univ.), Hiroshi Tsutsui, Yoshikazu Miyanaga (Hokkaido Univ.), Hiroyuki Ochi (Ritsumeikan Univ.) SIS2018-38
In this paper, we consider energy-efficient video encoding methods which are appropriate for performance-, power- and en... [more] SIS2018-38
pp.5-9
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
 Results 1 - 20 of 114  /  [Next]  
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