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Committee Date Time Place Paper Title / Authors Abstract Paper #
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
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] 2022-02-21
Online Online Quality Assessment for 3D CG Image Colorization Using Visible Digital Watermarking after Noise Removal Based on Sparse Dictionary Learning Coding
Norifumi Kawabata (Hokkaido Univ.)
Thus far, we discussed to represent image data whether it is possible or not to represent meaning image how requirement ... [more]
EMM, EA, ASJ-H 2021-11-15
Online Online [Poster Presentation] On Visibility Improvement of Image with Biased Brightness Distribution by Near Hue-preserving Color Enhancement Method Using Reversible Digital Watermarking
Rio Kurokawa, Kazuki Yamato, Madoka Hasegawa (Utsunomiya Univ.) EA2021-39 EMM2021-66
We have been investigating the near hue-preserving color enhancement method to enhance the contrast and saturation of co... [more] EA2021-39 EMM2021-66
ITE-ME, EMM, IE, LOIS, IEE-CMN, IPSJ-AVM [detail] 2021-08-25
Online Online Extraction of watermarks from video frames by using BSS
Akane Yokota, Masaki Kawamura (Yamaguchi Univ.) LOIS2021-17 IE2021-12 EMM2021-47
We propose a method for extracting watermarks additively
embedded in video frames by using blind source separation (BS... [more]
LOIS2021-17 IE2021-12 EMM2021-47
EMM 2020-03-05
(Cancelled but technical report was issued)
[Poster Presentation] Proposal of BSS-based video watermarking method using similarity between frames
Akane Yokota, Masaki Kawamura (Yamaguchi Univ.) EMM2019-105
Movies are composed of sequential still images, and similarity between consecutive frames is very high. 
In this work, w... [more] EMM2019-105
EMM 2020-03-05
(Cancelled but technical report was issued)
[Poster Presentation] Investigation of associative memory models for improving error correcting capability in digital watermarking scheme
Kazuma Fukata, Masaki Kawamura (Yamaguchi Univ.) EMM2019-118
We propose an error correcting method using associative memory models, which can correct the errors of watermarks. The a... [more] EMM2019-118
EMM 2020-03-06
(Cancelled but technical report was issued)
Utilization of Medium frequency bands for Digital Watermarking Using max-Plus algebra-Based Morphological Wavelet Transform and its applications
Katsuya Maeyama, Tomohiro Fujita, Takeshi Ogura (Ritsumeikan Univ.), Venugopala P.S (NMAMIT), Takeshi Kumaki (Ritsumeikan Univ.) EMM2019-125
Digital watermarking has been widely used for copyright protection, image manipulation detection.In this study, we consi... [more] EMM2019-125
ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2020-02-27
Hokkaido Hokkaido Univ.
(Cancelled but technical report was issued)
A High Embedding Capacity Watermarking Technique Based on Regularization for Convolutional Neural Network Model
Han He, Seok Kang, Yuji Sakamoto (Hokkaido Univ.)
CNN (Convolutional Neural Network) is becoming more and more popular. And pre-trained CNN models can be accessed easily.... [more]
EMM 2020-01-27
Miyagi Tohoku Univ. iPhone application development to embed URL at taking screenshots
Kenta Nango, Masaki Kawamura (Yamaguchi Univ.) EMM2019-97
We are developing an iPhone application which can embed a URL into a screenshot image of a web page by using digital wat... [more] EMM2019-97
SITE 2019-12-06
Kanagawa   Analysis of an intermediate layer for perceptual hashing using a convolutional neural network
Ken Nakatani, Meng Zhaoxiong, Tetsuya Morizumi, Hirotsugu Kinoshita (Kanagawa Univ.) SITE2019-80
This research aims to improve the digital watermark technology that embeds evidence information by using content redunda... [more] SITE2019-80
SITE 2019-12-06
Kanagawa   A Scheme of Digital Copyright Management System Based on Blockchain and Digital Watermarking -- Research on Improvement Method of Perceptual Hashing based on Machine Learning --
Zhaoxiong Meng, Tetsuya Morizumi (KU), Sumiko Miyata (SIT), Hirotsugu Kinoshita (KU) SITE2019-83
In this study, in order to search for a new digital content copyright management method that achieves both safety and co... [more] SITE2019-83
IE, EMM, LOIS, IEE-CMN, ITE-ME, IPSJ-AVM [detail] 2019-09-19
Niigata Tokimeito, Niigata University Digital watermarking method against print-cam attack using deep learning for synchronization
Hiroyuki Imagawa, Motoi Iwata, Koichi Kise (Osaka Pref. Univ.) LOIS2019-12 IE2019-25 EMM2019-69
In this paper, we propose a novel watermarking method against print-cam attack.
Digital watermarking is used to get inf... [more]
LOIS2019-12 IE2019-25 EMM2019-69
(Joint) [detail]
Kagoshima Kagoshima University A Search Method of Cropped Image Using Corner Feature Points for Watermarked Image
Kouki Ikeda, Kousuke Imamura (Kanazawa Univ.), Hideo Kuroda, Makoto Fujimura (Nagasaki Univ.) IMQ2018-27 IE2018-111 MVE2018-58
The digital watermarking technique is used for the prevention of distribution of illegal copies. However, the simply app... [more] IMQ2018-27 IE2018-111 MVE2018-58
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
IBISML 2018-11-05
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Watermarking of Neural Network with Exponential Weighting Parameters
Ryota Namba (Tsukuba Univ.), Jun Sakuma (Tsukuba Univ./riken) IBISML2018-63
Deep learning has been achieving top performance in many tasks.
Since training of a deep learning model requires a gr... [more]
WBS, IT, ISEC 2018-03-08
Tokyo Katsusika Campas, Tokyo University of Science Digital watermark using deep-learning classification
Mashu Sakai, Taiki Shigeta, Hikaru Morita (Kanagawa Univ.) IT2017-121 ISEC2017-109 WBS2017-102
Digital watermarking is a technique of embedding information in an original image without being noticed or disclosed to ... [more] IT2017-121 ISEC2017-109 WBS2017-102
EMM 2017-11-06
Kagoshima Kagoshima Univ. (Inamori Academy) An experimental study on coded aperture design for digital watermark extraction
Hiroki Hamasaki, Kentaro Nakai, Shingo Takeshita, Takeru Maehara (Kagoshima Univ.), Toshiki Sonoda (Kyushu Univ.), Michihiro Mikamo (Kagoshima Univ.), Hiroshi Kawasaki (Kyushu Univ.), Hajime Nagahara (Osaka Univ.), Satoshi Ono (Kagoshima Univ.) EMM2017-55
When extracting a digital watermark from a captured image by a camera and a defocus blur happens,the watermark may not b... [more] EMM2017-55
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
EMM 2017-03-06
Okinawa Miyakojima Marin Terminal Building (Okinawa) [Poster Presentation] Consideration of watermarking method introduced KAZE features
Yuka Fukada, Masaki Kawamura (Yamaguchi Univ.) EMM2016-86
We evaluate robustness of a digital watermarking method using KAZE features. Watermarks need to be extracted from distor... [more] EMM2016-86
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
 Results 1 - 20 of 111  /  [Next]  
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