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Committee Date Time Place Paper Title / Authors Abstract Paper #
IT, EMM 2022-05-17
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
EMM 2022-03-08
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
EMM, IT 2021-05-21
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
EA, ASJ-H, EMM 2020-11-20
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
PRMU 2020-09-02
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
(Joint) [detail]
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
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
HCS, HIP, HI-SIGCE [detail] 2019-05-17
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
EMM 2019-03-13
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
EMM 2019-03-13
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
SIS 2019-03-06
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
IEE-CMN, EMM, LOIS, IE, ITE-ME [detail] 2018-09-27
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
SIS, IPSJ-AVM, ITE-3DMT [detail] 2018-06-07
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
EMM 2018-03-05
Kagoshima Naze Community Center (Amami-Shi, Kagoshima) [Poster Presentation] Analysis on History of JPEG Compression Considering the Characteristic of Quantization Table
Keitaro Oura, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.) EMM2017-86
As we can find some clues from a given image about the history of JPEG compression, it is possible to classify the image... [more] EMM2017-86
EMM 2017-11-06
Kagoshima Kagoshima Univ. (Inamori Academy) Digital watermarking method by encoder using neural network
Ippei Hamamoto, Masaki Kawamura (Yamaguchi Univ) EMM2017-58
We propose a digital watermarking method by encoder using a neural network.The learned neural network can perform as bot... [more] EMM2017-58
SIS, IPSJ-AVM 2017-10-12
Nara Todaiji Culture Center A JPEG-Friendly Image Encryption Scheme
Ayana Kawamura, Tatsuya Chuman, Kenta Iida, Hitoshi Kiya (Tokyo Metropolitan Univ.) SIS2017-22
Conventional secure image transmission systems are based on Compression-then-Encryption systems, where image encryption ... [more] SIS2017-22
EMM, IE, LOIS, IEE-CMN, ITE-ME [detail] 2017-09-04
Kyoto Kyoto Univ. (Clock Tower Centennial Hall) Image Manipulation Analysis on Social Networking Service for Encryption-then-Compression Systems
Tatsuya Chuman, Kenta Iida, Hitoshi Kiya (Tokyo Metro. Univ.) LOIS2017-13 IE2017-34 EMM2017-42
Encryption-then-Compression (EtC) systems have been proposed to securely transmit images through an untrusted channel pr... [more] LOIS2017-13 IE2017-34 EMM2017-42
SIP 2017-08-24
Tokyo Tokyo Denki University [Special Invited Talk] Cyber security in IoT Era
Hiroshi Yasuda (TDU)
This paper first describes research on image compression technology and related international standardization activity w... [more]
EMM 2017-03-06
Okinawa Miyakojima Marin Terminal Building (Okinawa) [Poster Presentation] Digital watermarking method using non-binary LDPC codes and its evaluation for JPEG compression
Toyohiko Saeki, Takayuki Nozaki, Masaki Kawamura (Yamaguchi Univ.) EMM2016-87
We propose digital watermarking methods using non-binary LDPC codes and evaluate their robustness against JPEG compressi... [more] EMM2016-87
IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] 2017-02-20
Hokkaido Hokkaido Univ. A Generation Scheme of High Quality LDR Images from JPEG-XT HDR Images Using Structural Fidelity
Artit Visavakitcharoen, Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya (Tokyo Metropolitan Univ.) ITS2016-45 IE2016-103
This paper proposes a high quality low dynamic range (LDR) image generation scheme for the JPEG XT standard, which is a ... [more] ITS2016-45 IE2016-103
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