Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
CCS |
2024-03-27 16:50 |
Hokkaido |
RUSUTSU RESORT |
JPEG Compression Quality Setting Considering Image Quality and Information Loss for Correlated Steganography Mariiko Aikawa, Sumiko Miyata (SIT), Kaito Hosono, Hirotsugu Kinoshita (KU) CCS2023-50 |
As more and more confidential information, including personal information, is transmitted and received over the Internet... [more] |
CCS2023-50 pp.64-69 |
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-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 |
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 |