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Technical Group on Media Engineering (ME)  (Searched in: 2022)

Search Results: Keywords 'from:2022-07-22 to:2022-07-22'

[Go to Official ME Homepage (Japanese)] 
Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
 Results 1 - 7 of 7  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
ME 2022-07-22
13:00
Online Online Real-time High-resolution 360 Video Transmission with Private 5G Networks
Ryoto Kato, Takashi Nishitsuji, Takuya Asaka (TMU)
 [more] ME2022-65
pp.1-3
ME 2022-07-22
13:30
Online Online A Twice-Embedding Reversible Data Hiding Method for the Grayscale-Based EtC System
Ruifeng Li, Masaaki Fujiyoshi (Tokyo Metro. Univ.)
This paper proposes a twice-embedding method for data hiding in images that can be used with the encryption-then-compres... [more] ME2022-66
pp.5-8
ME 2022-07-22
14:00
Online Online [Invited Talk] A new approach to tele-agriculture that opens up the DX era
Takahiro Kato, Masao Kasuga (Sakushin Gakuin Univ.)
In this paper, attending to the agriculture as our major industry, especially of postwar era Japan, we research some cha... [more] ME2022-67
pp.9-14
ME 2022-07-22
14:50
Online Online [Special Talk] CVPR2022 Report -- The latest trend in computer vision --
Ryosuke Yamada (Univ. of Tsukuba/AIST)
 [more] ME2022-68
pp.15-18
ME 2022-07-22
15:50
Online Online On OCT Volume Data Restoration by Introducing Inter-scale Thresholding
Masaki Kakihara, Shogo Muramatsu (Niigata Univ.)
This study proposes a restoration model for volumetric data acquired by an optical coherence tomography (OCT) device.
A... [more]
ME2022-69
pp.19-22
ME 2022-07-22
16:20
Online Online Image Classification of Cancer Cells Treated with IRDAptermer
Rahman Rawnak Mim, Yuuka Yamagata, Yoshiro Chuman, Shogo Muramatsu (Niigata Univ.)
This work evaluates convolutional neural network (CNN)-based image classifiers for determining the effect of a cell memb... [more] ME2022-70
pp.23-26
ME 2022-07-22
16:50
Online Online Deep Learning based Compressed Sensing Image Reconstruction Using Multiple Signal Under-sampling Pattern
Masaki Shibui, Kazuki Yamato, Satoshi Ito (Utsunomiya Univ.)
CS-MRI, which is an application of compressed sensing (CS) to MR image acquisition, can reconstruct MR images from a sma... [more] ME2022-71
pp.27-29
 Results 1 - 7 of 7  /   
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