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Technical Committee on Enriched MultiMedia (EMM) (Searched in: 2020)
Search Results: Keywords 'from:2021-03-04 to:2021-03-04'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EMM | 2021-03-04 13:30 |
Online | Online | [Poster Presentation]
Object Boundary Correction for Monocular Depth Estimation Using Region Segmentation Ikuma Yasukawa, Shoko Imaizumi (Chiba Univ.)  EMM2020-67 |
We propose a new method to generate high-quality depth images in this paper. The proposed method corrects object boundar... [more] | EMM2020-67 pp.1-6 |
| EMM | 2021-03-04 13:45 |
Online | Online | [Poster Presentation]
Study on Watermarking Method Using SIFT Feature Points and DFT Domain Rinka Kawano, Masaki Kawamura (Yamaguchi Univ.) EMM2020-68 |
It is necessary for watermarking methods to resist geometric and non-geometric attacks. The SIFT feature-based methods w... [more] | EMM2020-68 pp.7-12 |
| EMM | 2021-03-04 14:00 |
Online | Online | [Poster Presentation]
A study of face detection and its privacy protection in photos taken by wide-angle surveillance camera Koki Nakai, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.), Sohei Fujii, Hiroyuki Ishihara (Systems nakashima) EMM2020-69 |
In this paper, we propose a privacy protection system that detects human faces from images taken by a wide-angle camera,... [more] | EMM2020-69 pp.13-18 |
| EMM | 2021-03-04 14:15 |
Online | Online | [Poster Presentation]
Detection of Adversarial Examples in CNN Image Classifiers Using Features Extracted with Multiple Strengths of Filter Akinori Higashi, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.), Huy Hong Nguyen, Isao Echizen (NII) EMM2020-70 |
Deep learning has been used as a new method for machine learning, and its performance has been significantly improved. A... [more] | EMM2020-70 pp.19-24 |
| EMM | 2021-03-04 14:30 |
Online | Online | [Poster Presentation]
A Hearable Data Hiding Technique for Musical Pieces Utilizing Reverb Effects Ruka Inoue, Tetsuya Kojima, Raito Matsuzaki, Akira Tanaka (NIT, Tokyo College) EMM2020-71 |
A hearable data hiding technique utilizing characteristics of musical pieces has been proposed. This technique is called... [more] | EMM2020-71 pp.25-27 |
| EMM | 2021-03-04 14:45 |
Online | Online | [Poster Presentation]
Improvement of Video Forgery Detection Using Generative Adversarial Networks Yutaro Osako (Osaka Univ.), Kazuhiro Kono (Kansai Univ.), Noboru Babaguchi (Osaka Univ.) EMM2020-72 |
Our work aims to detect tampered objects in the spatial domain of videos with high accuracy. We target videos, including... [more] | EMM2020-72 pp.28-33 |
| EMM | 2021-03-04 15:00 |
Online | Online | [Poster Presentation]
A Separation Method for Handwritings and Printed Texts on Documents as a Preprocessing Filter for OCR Ryotaro Sakurai, Hirohisa Hioki (Kyoto Univ.) EMM2020-73 |
In applying OCR to documents with handwritings, printed texts and handwritings have to be separated from each other. We ... [more] | EMM2020-73 pp.34-39 |
| EMM | 2021-03-04 15:30 |
Online | Online | [Invited Talk]
REAL or FAKE Noboru Babaguchi (Osaka Univ.) EMM2020-74 |
Media clones are defined as fake media that is not authentic/real but skillfully fabricated replicas of authentic media.... [more] | EMM2020-74 pp.40-45 |
| EMM | 2021-03-05 09:30 |
Online | Online | An MSB Prediction-Based Method Using Linear Regression for Reversible Data Hiding in Encrypted Images Kotaro Yamamura, Ryoichi Hirasawa, Shoko Imaizumi (Chiba Univ.), Hitoshi Kiya (Tokyo Metropolitan Univ.) EMM2020-75 |
In this paper, we propose an MSB prediction-based reversible data hiding method using linear regression in encrypted dom... [more] | EMM2020-75 pp.46-51 |
| EMM | 2021-03-05 09:55 |
Online | Online | A Reversible Image Processing Method for Saturation and Contrast Enhancement Yuki Sugimoto, Shoko Imaizumi (Chiba Univ.) EMM2020-76 |
In this paper, we propose an image processing method for color images to enhance both saturation and contrast with rever... [more] | EMM2020-76 pp.52-57 |
| EMM | 2021-03-05 10:20 |
Online | Online | Analysis of visual subjective evaluation for qualities of food taste using machine learning techniques Yoshiyuki Sato (Tohoku Univ.), Kazuya Matsubara, Yuji Wada (Ritsmeikan Univ.), Nobuyuki Sakai, Satoshi Shioiri (Tohoku Univ.) EMM2020-77 |
In this study, we conducted an experiment to collect human subjective judgments about taste (e.g. sweetness, spiciness) ... [more] | EMM2020-77 pp.58-62 |
| EMM | 2021-03-05 11:00 |
Online | Online | Physical Unclonable Function Using Hartley Oscillator Ryota Soga, Hyunho Kang (NITTC) EMM2020-78 |
(To be available after the conference date) [more] | EMM2020-78 pp.63-66 |
| EMM | 2021-03-05 11:25 |
Online | Online | Digital Image Watermarking Attack Using Generative Adversarial Network Shu Ohmura, Hyunho Kang, Tetsuya Kojima (NIT,Tokyo College) EMM2020-79 |
[more] | EMM2020-79 pp.67-72 |
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