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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
| WBS, RCC, SAT, MICT (Joint) [detail] |
2021-05-21 09:45 |
Online | Online (Zoom) | Space division multiplexing, low-luminance uplink optical camera communication using a smartphone OLED screen Alisa Kawade, Wataru Chujo, Kentaro Kobayashi (Meijo Univ.) WBS2021-13 RCC2021-13 SAT2021-11 MICT2021-9 |
To increase security at the physical layer of space division multiplexing uplink optical camera communication from a sma... [more] | WBS2021-13 RCC2021-13 SAT2021-11 MICT2021-9 pp.66-71(WBS), pp.66-71(RCC), pp.54-59(SAT), pp.44-49(MICT) |
| CS, CQ (Joint) |
2021-05-13 11:20 |
Online | On-line | Image Size Reduction by Edge Computing for Low Latency Relay Transmission Weiran Yuan, Kazuki Maruta (Tokyo Tech), Yu Nakayama (TUAT), Daisuke Hisano (Osaka Univ), Kei Sakaguchi (Tokyo Tech) CQ2021-5 |
Real-time remote monitoring and object recognition using camera images are expected to be one of the important applicati... [more] | CQ2021-5 pp.24-28 |
| ITS, IEE-ITS | 2021-03-15 11:25 |
Online | Online | Tracking Loss Reduction Method for Image Tracking of Bus Passengers using Multiple Cameras Taiga Kato (Aichi Pref. Univ.), Masahiro Inami, Hideaki Yamaguchi (Aisin Seiki Co., Ltd.), Haruki Kawanaka, Koji Oguri (Aichi Pref. Univ.) ITS2020-40 |
The large number of accidents in the bus is regarded as a problem, passengers' seatings are confirmed visually or with m... [more] | ITS2020-40 pp.23-28 |
| MI | 2021-03-15 14:30 |
Online | Online | Comparison of Deep Learning Reconstruction for MR Compressed Sensing Shinya Abe, Shohei Ouchi, Satoshi Ito (Utsunomiya Univ.) MI2020-56 |
The theory of compressed sensing (CS) has been introduced to MRI to reduce the scan time. However, CS reconstruction int... [more] | MI2020-56 pp.41-45 |
| SeMI, IPSJ-MBL, IPSJ-UBI [detail] | 2021-03-02 10:00 |
Online | Online | Traffic Reduction Method on Wireless Edge Computing by Retransmission Control Based on Image Recognition Accuracy Mutsuki Nakahara, Daisuke Hisano (Osaka Univ.), Mai Nishimura, Yoshitaka Ushiku (OSX), Kazuki Maruta (TIT), Yu Nakayama (TUAT) SeMI2020-62 |
In this paper, we propose a retransmission control system based on image recognition accuracy as a traffic reduction met... [more] | SeMI2020-62 pp.23-28 |
| HWS, VLD [detail] | 2020-03-05 16:25 |
Okinawa | Okinawa Ken Seinen Kaikan (Cancelled but technical report was issued) |
Image edge detection using Latest Results based Approximate Computing Hajime Ochi, Kimiyoshi Usami (SIT) VLD2019-121 HWS2019-94 |
Approximate Computing (AC) is an energy reduction technique with approximate calculation. In the field of image processi... [more] | VLD2019-121 HWS2019-94 pp.157-162 |
| MI | 2020-01-29 10:05 |
Okinawa | OKINAWAKEN SEINENKAIKAN | A study of generalized generation of image features for computer-aided detection systems based on unsupervised learning with normal datasets
-- Experimental evaluations of feature generation by small datasets -- Kazuyuki Ushifusa, Mitsutaka Nemoto(, Yuichi Kimura, Takashi Nagaoka, Takahiro Yamada, Atsuko Tanaka (Kindai Uni.), Naoto Hayashi (The Uni of Tokyo Hosp) MI2019-68 |
In a computer-aided detection system, image features are essential factors. In this study, we propose an image feature g... [more] | MI2019-68 pp.15-18 |
| MI | 2020-01-30 11:00 |
Okinawa | OKINAWAKEN SEINENKAIKAN | High precision metal artifacts reduction in X-ray CT images by Deep Image Prior and sinogram normalization Hiroya Satake, Tatsuya Yokota (NIT), Yoshito Otake, Yoshinobu Sato (NAIST), Hidekata Hontani (NIT) MI2019-103 |
In this paper, we propose a method to improve the normalization accuracy of sinogram by using DeepImage Prior to remove ... [more] | MI2019-103 pp.169-174 |
| EA | 2019-12-12 14:00 |
Fukuoka | Kyushu Inst. Tech. | Removal of musical noise using deep learning without pre-training Takuya Fujimura, Ryoichi Miyazaki (NITTC) EA2019-69 |
In this paper, we propose the musical noise elimination using the deep learning which does not require pre-training. It ... [more] | EA2019-69 pp.23-29 |
| RCC, ITS, WBS | 2019-11-06 11:00 |
Nara | Nara Institute of Science and Technology | [Poster Presentation]
A Study on Majority-Decision-based Divisional Maximum Likelihood Decoding for Image Sensor Communication Zhengqiang Tang, Shintaro Arai (Okayama Univ. of Sci.) WBS2019-28 ITS2019-19 RCC2019-59 |
Visible light communication (VLC) using an image sensor as a receiver, referred to as an image sensor communication (ISC... [more] | WBS2019-28 ITS2019-19 RCC2019-59 pp.27-30 |
| MI, MICT [detail] | 2019-11-05 16:10 |
Ibaraki | Univ. of Tsukuba | [Short Paper]
Proposal of fault-tolerant CT image reconstruction using Nonlocal Total Variation and its application to metal artifact reduction Kazuki Chigita (Univ. Tsukuba), Jian Dong (TUTE), Yongchae Kim, Hiroyuki Kudo (Univ. Tsukuba) MICT2019-37 MI2019-64 |
When some abnormal data is included in the projection data, the normal image reconstruction method increases the influen... [more] | MICT2019-37 MI2019-64 pp.55-56 |
| SANE | 2019-11-01 10:40 |
Overseas | KOREA (Jeju) | Aircraft Image Classification using Perceptual Hashing Riku Noguchi, Makoto Tanaka (Tokai Univ.) SANE2019-64 |
In this paper, we propose new method of aircraft classification using perceptual hashing. Many studies have been conduct... [more] | SANE2019-64 pp.83-85 |
| ITE-BCT, SIS | 2019-10-24 15:30 |
Fukui | Fukui International Activities Plaza | Image Regularization with Total Variation and Morphological Gradient Priors Using Optimization of Structuring Element for Each Pixel Shoya Oohara, Hirotaka Oka, Mistuji Muneyasu, Soh Yoshida (Kansai Univ.), Makoto Nakashizuka (CIT) SIS2019-17 |
As an image prior for image restoration, a method using the sum of morphological gradients has been proposed. Optimizati... [more] | SIS2019-17 pp.47-52 |
| EA, ASJ-H | 2019-08-09 11:00 |
Miyagi | Tohoku Univ. | Study on Noise Suppression by Differential-type Microphone Array and Machine Learning of 2D Spectrum Koichiro Shiozawa, Kenji Ozawa (Univ. Yamanashi), Tomohiko Ise (AlpsAlpine) EA2019-31 |
This project aims to achieve noise suppression by processing of the output of a microphone array with an artificial neur... [more] | EA2019-31 pp.53-58 |
| VLD, IPSJ-SLDM | 2019-05-15 14:20 |
Tokyo | Ookayama Campus, Tokyo Institute of Technology | Approximate Computing Technique Using Memoization and Simplified Multiplication Yoshinori Ono, Kimiyoshi Usami (SIT) VLD2019-2 |
In embedded systems, approximate computing can strongly promote reduction of execution time and energy consumption in ex... [more] | VLD2019-2 pp.13-18 |
| WBS, ITS, RCC | 2018-12-06 16:00 |
Okinawa | Miyako Island Hirara Port Terminal Bldg. | Getting on and off State Confirmation System Corresponding to In-vehicle Safety for Automated Driving Last-Mile Mobility Shinichiro Kawabata (AIST/Tokyo Univ. of Science), Shin Kato (AIST) WBS2018-56 ITS2018-39 RCC2018-87 |
Currently, in Japan, new transportation systems using automatic driving techniques are expected to secure transportation... [more] | WBS2018-56 ITS2018-39 RCC2018-87 pp.159-163 |
| EID, ITE-IDY, IEIJ-SSL, SID-JC, IEE-EDD [detail] | 2018-01-26 10:20 |
Shizuoka | Shizuoka Univ., Hamamatsu | Power Saving of OLEDs by Dimming Background Region Image Extracted Based on Color Similarity in Game Image Jumpei Sugai, Tomokazu Shiga (UEC) EID2017-43 |
Power consumption of OLEDs when they are used for games is decreased by reducing the luminance of background region of t... [more] | EID2017-43 pp.73-76 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2017-12-22 11:20 |
Tokyo | Waseda Univ. Green Computing Systems Research Organization | A Sound Source Separation Method for Multiple Person Speech Recognition using Wavelet Analysis Based on Sound Source Position Obtained by Depth Sensor Nobuhiro Uehara, Kazuo Ikeshiro, Hiroki Imamura (Soka Univ.) SP2017-63 |
Recently, voice information guidance systems are used for only one person in operating at a city hall. To realize operat... [more] | SP2017-63 pp.79-83 |
| SIS | 2017-12-15 09:20 |
Tottori | Tottori Prefectural Center for Lifelong Learning | A Proposal about Memory Usage Reduction Method of Non-local Processing Johei Matsuoka (TUT), Takanori Koga (NIT, Tokuyama College), Noriaki Suetake (Yamaguchi Univ.) SIS2017-46 |
In this report, we describe reduction methods of use memory of non-local processing. Non-local processing is excellent n... [more] | SIS2017-46 pp.75-78 |
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