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Technical Committee on Enriched MultiMedia (EMM) (Searched in: 2021)
Search Results: Keywords 'from:2021-05-20 to:2021-05-20'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EMM, IT | 2021-05-20 13:00 |
Online | Online | An Improved Key Generation Method in Knapsack Cryptosystem using Shifted-odd and Super-increasing Sequence Minami Sato, Yasuyuki Murakami (OECU)  IT2021-1 EMM2021-1 |
The security of most of the public-key cryptosystem depends on the difficulty of the factoring problem, the discrete l... [more] |
IT2021-1 EMM2021-1 pp.1-6 |
| EMM, IT | 2021-05-20 13:25 |
Online | Online | The Achievable Rate Region of Wyner-Ahlswede-Korner Coding Problem for Mixed Sources Daisuke Takeuchi, Shun Watanabe (TUAT) IT2021-2 EMM2021-2 |
The achievable rate region of Wyner-Ahlswede-Körner coding problem for mixed sources is investigated.Wyner-Ahlswede-Körn... [more] | IT2021-2 EMM2021-2 pp.7-12 |
| EMM, IT | 2021-05-20 14:35 |
Online | Online | A universal detector of CNN-generated images based on properties of checkerboard artifacts Miki Tanaka, Hitoshi Kiya (Metro Univ.) IT2021-3 EMM2021-3 |
We propose a universal detector of images generated by using any CNNs to detect CNN-generated images. We consider prope... [more] |
IT2021-3 EMM2021-3 pp.13-18 |
| EMM, IT | 2021-05-20 15:00 |
Online | Online | Improving a tracking accuracy using Artificial Fiber Patterns by applying a new image processing method Hiroki Urakawa, Kitahiro Kaneda, Keiichi Iwamura (TUS) IT2021-4 EMM2021-4 |
Due to the low cost of equipment, the number of surveillance cameras installed has increased significantly in recent yea... [more] | IT2021-4 EMM2021-4 pp.19-24 |
| EMM, IT | 2021-05-20 15:25 |
Online | Online | Embedding Area Detection of Digital Watermarking with Transfer Learning Sayoko Kakikura (TUS), Hyunho Kang (NITTC), Keiichi Iwamura (TUS), Naoto Kawamura (Kawamura Techno Lab.) IT2021-5 EMM2021-5 |
Digital watermarking is a technology for hiding information in digital media such as images, video, and audio. In this p... [more] | IT2021-5 EMM2021-5 pp.25-30 |
| EMM, IT | 2021-05-20 16:10 |
Online | Online | [Invited Talk]
Secure Computation of Sparse Modeling
-- Edge AI with Lightweight and Small Amounts of Data -- Takayuki Nakachi (Univ. of the Ryukyus) IT2021-6 EMM2021-6 |
With the advent of the big data, IoT, AI era, all digital contents continue to increase. Sparse modeling is drawing atte... [more] | IT2021-6 EMM2021-6 pp.31-36 |
| EMM, IT | 2021-05-21 09:30 |
Online | Online | An Audio Data Hiding Scheme Utilizing Artificial Flowing Water Sounds Naoyuki Muraoka, Tetsuya Kojima, Raito Matsuzaki (NIT, Tokyo College) IT2021-7 EMM2021-7 |
Data hiding techniques can be used as a communication medium as well as digital watermarking or fingerprinting applicati... [more] | IT2021-7 EMM2021-7 pp.37-41 |
| EMM, IT | 2021-05-21 09:55 |
Online | Online | Improvements on the Receiving Functions of Disaster Prevention Broadcasting Systems Based on Audio Data Hiding Takafumi Otsuka, Tetsuya Kojima, Takashi Ikeguchi, Raito Matsuzaki (NIT, Tokyo College) IT2021-8 EMM2021-8 |
A disaster prevention broadcasting system using audio data hiding technique has been proposed. In this system, disaster ... [more] | IT2021-8 EMM2021-8 pp.42-47 |
| EMM, IT | 2021-05-21 10:40 |
Online | Online | Proximal Decoding for LDPC-coded Massive MIMO Channels Tadashi Wadayama, Satoshi Takabea (Nitech) IT2021-9 EMM2021-9 |
[more] | IT2021-9 EMM2021-9 pp.48-53 |
| EMM, IT | 2021-05-21 11:05 |
Online | Online | OMP Algorithm with Prior Information for Identification and Channel Estimation on Multiple Access Fading Channel Shan Lu, LianTian Wei, Hiroshi Kamabe (Gifu Univ.) IT2021-10 EMM2021-10 |
[more] | IT2021-10 EMM2021-10 pp.54-59 |
| EMM, IT | 2021-05-21 13:10 |
Online | Online | A Study of Detecting Adversarial Examples Using Sensitivities to Multiple Auto Encoders Yuma Yamasaki, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.), Huy Hong Nguyen, Isao Echizen (NII) IT2021-11 EMM2021-11 |
By removing the small perturbations involved in adversarial examples, the image classification result returns to the cor... [more] | IT2021-11 EMM2021-11 pp.60-65 |
| 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 |
| 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 |
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