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Technical Group on Media Engineering (ME)  (Searched in: 2021)

Search Results: Keywords 'from:2022-02-21 to:2022-02-21'

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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
 Results 1 - 20 of 74  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
10:30
Online online Automatic Feeding by Activity Determination Using Image Processing and Machine Learning for Fish Farming
Yuto Takamatsu, Tokiya Seko, Satoshi Nakakoga, Nobuo Ezaki (NIT Toba), Tomohiko Kobayashi (Owase Lab)
 [more] MMS2022-1 ME2022-26 AIT2022-1
pp.1-6
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
10:45
Online online Deer Detection and Feeding Pattern Derivation for Automatic Attraction in Vermin Cages
Kota Himekomatsu, Riku Tsuji, Kazushige izue, Tsukasa kitahara, Satoshi Nakakoga, Nobuo Ezaki (NIT Toba), Osamu Takahashi (ISE), Naoto Yamabata (Hyogo Univ.)
 [more] MMS2022-2 ME2022-27 AIT2022-2
pp.7-11
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
11:00
Online online RecipeLog: Input interface for multimedia recipes with structured instructions
Akihisa Ishino, Yoko Yamakata (UTokyo), Hiroaki Karasawa (HSD), Sousuke Amano (foo.log), Kiyoharu Aizawa (UTokyo)
 [more] MMS2022-3 ME2022-28 AIT2022-3
pp.13-18
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
11:15
Online online Datasets construction of first-person video capturing eating behavior toward automatic eat logging system
Kenshiro Sato (UTokyo), Sosuke Amano (foo.log), Yoko Yamakata, Aizawa Kiyoharu (UTokyo)
 [more] MMS2022-4 ME2022-29 AIT2022-4
pp.19-24
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
11:30
Online online A Study of Temporal Information Embedding in Group Activity Recognition Models
Yuta Kumakura, Norio Tagawa (Tokyo Metropolitan Univ.), Shuhei Tarashima (NTT Communications Corp.)
In the previous studies on group activity recognition, various models have been proposed to relate the appearance and be... [more] MMS2022-5 ME2022-30 AIT2022-5
pp.25-29
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
12:45
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] MMS2022-6 ME2022-31 AIT2022-6
pp.31-36
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
13:00
Online online A note on multi-source model adaptation for semantic segmentation -- Improving adaptation performance by learning model-invariant representation from multiple source models --
Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
 [more] MMS2022-7 ME2022-32 AIT2022-7
pp.37-41
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
13:15
Online online A Note on Improvement of Accuracy in Classification of Distress Images for Efficient Inspection of Road Structures -- Introduction of Ratio of Similar Cases Based on Text Data --
Taisei Hirakawa, Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
In this paper, we propose a method for correcting the results of distress image classification using text data recorded ... [more] MMS2022-8 ME2022-33 AIT2022-8
pp.43-48
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
13:30
Online online A Note on Automatic Diagnosis of Helicobacter Pylori Infection Based on Self-Supervised Learning and Self-Knowledge Distillation
Guang Li, Ren Togo (Hokkaido Univ.), Katsuhiro Mabe (Junpukai Health Maintenance Center), Shunpei Nishida (Olympus), Yoshihiro Tomoda (Olympus Medical Systems), Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper proposes a novel method for automatic diagnosis of Helicobacter pylori (H. pylori) infection based on self-su... [more] MMS2022-9 ME2022-34 AIT2022-9
pp.49-52
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
13:55
Online online Feasibility examination of detection of spatial quadrature amplitude modulated signal beam by single-shot transport of intensity equation method using polarization-dependent defocus control
Kazuya Tashiro (Grad Sch of Fukuoka Univ.), Masatoshi Bunsen (Fukuoka Univ.)
 [more] MMS2022-10 ME2022-35 AIT2022-10
pp.53-56
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
14:10
Online online Experimental evaluation of parameter dependent performance of scattering imaging/scattering focusing using transmission matrix
Tomoki Nakamura (Grad Sch of Fukuoka Univ.), Masatoshi Bunsen (Fukuoka Univ.)
 [more] MMS2022-11 ME2022-36 AIT2022-11
pp.57-60
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
14:25
Online online Improvement of learning process by transmission matrix in self-referential holographic neural network
Rio Tomioka, Masanori Takabayashi (Kyushu Inst. of Tech)
 [more] MMS2022-12 ME2022-37 AIT2022-12
pp.61-66
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
14:40
Online online Effect of post-exposure time on diffraction efficiency of volume holograms during recording
Yuya Kuroda, Atsushi Okamoto (Hokkaido Univ.), Satoshi Shinada, Yuta Goto (NICT), Akihisa Tomita (Hokkaido Univ.)
To realize the mode division multiplexing transmission, we have proposed a volume holographic mode de-multiplexer (VHDM)... [more] MMS2022-13 ME2022-38 AIT2022-13
pp.67-70
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
15:05
Online online Mode diffusion technique for reduction of crosstalk in volume holographic mode demultiplexer
Shuanglu Zhang, Atsushi Okamoto, Akihisa Tomita (Hokkaido Univ.)
Volume holographic demultiplexers (VHDMs) utilize angularly multiplexed volume holograms to separate multiplexed spatial... [more] MMS2022-14 ME2022-39 AIT2022-14
pp.71-75
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
15:20
Online online Resolution in 3D super-resolution projection using single-lens spatial cross modulation method
Xinruinan Zhang, Atsushi Okamoto (Hokkaido Univ.), Hisatoshi Funakoshi (Gifu Univ.), Shuanglu Zhang, Akihisa Tomita (Hokkaido Univ.)
Spatial cross modulation (SCMM) can regenerate optical complex amplitudes by combining a single spatial light modulator ... [more] MMS2022-15 ME2022-40 AIT2022-15
pp.77-80
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
15:35
Online online Effects of foreground and unequal shielding on depth perception
Nobutaka Natsui, Hisaki Nate, Kazuo Ishikawa (Tokyo Polytechnic Univ.)
When observing binocular stereoscopic images using HMDs, problems such as unnaturalness and discomfort in stereoscopic p... [more] MMS2022-16 ME2022-41 AIT2022-16
pp.81-85
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
16:15
Online online A Note on Realizing Adversarial Defense Based on Regularization of Multi-stage Squeeze-and-Excitation Features
Jiahuan Zhang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Regularizing deep features is a common adversarial defense method. However, the existing methods do not further explore ... [more] MMS2022-17 ME2022-42 AIT2022-17
pp.87-90
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
16:30
Online online 3D Light Source Direction Estimation Using Known Objects for Augmented Reality
Yusuke Mukai, Hiroki Takahashi (UEC)
In AR (Augmented Reality) technology, it is important to keep consistency between a real environment and a virtual envir... [more] MMS2022-18 ME2022-43 AIT2022-18
pp.91-96
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
16:45
Online online A Note on Disentanglement Using Deep Generative Model Based on Variational Autoencoder -- Introduction of Regularization Losses Based on Metrics of Disentangled Representation --
Nao Nakagawa, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
In this paper, we study disentangled representation learning using a deep generative model based on Variational Autoenco... [more] MMS2022-19 ME2022-44 AIT2022-19
pp.97-102
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
17:00
Online online A Note on Interest level Estimation Using Users' Behavior Information -- Validating the Effectiveness of Feature Integration with Multiple Users --
Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
In this paper, we verify the effectiveness of feature integration with multi-user behavior information for interest leve... [more] MMS2022-20 ME2022-45 AIT2022-20
pp.103-107
 Results 1 - 20 of 74  /  [Next]  
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