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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IPSJ-AVM, CS, IE, ITE-BCT [detail] | 2021-11-25 11:15 |
Online | Online |  CS2021-62 IE2021-21 |
A light field (LF) image is composed of multi-view images acquired by slightly offset viewpoints. We propose a novel met... [more] | CS2021-62 IE2021-21 pp.13-18 |
| HIP | 2021-10-22 14:25 |
Online | Online | Visually Fidelitous Dynamic-Range Compression from HDR Images
-- Dependency of Individual on Perceived Time by Observing Images Reproduced with Global Tone Mapping Curves -- Yuichiro Orrita, Genta Higashi, Shoko Hira, Masayuki Kashima (Kagosima Univ.), Sakuichi Ohtsuka (International College of Technology, Kanazawa) HIP2021-46 |
Three different Global-tone-mapping (i.e., CD, SN, and DR) were employed for reproducing SDR images for subjective evalu... [more] | HIP2021-46 pp.87-92 |
| PRMU | 2021-08-26 16:15 |
Online | Online | A study on the selection of thumbnail images considering a genre of TV programs Momoko Maezawa, Rei Endo, Naotsuna Fujimori, Takahiro Mochizuki (NHK) PRMU2021-15 |
Broadcasting stations are enriching their TV program websites with the aim of improving the TV program contact rate of v... [more] | PRMU2021-15 pp.48-51 |
| MI | 2021-07-08 13:30 |
Online | Online | [Short Paper]
Performance comparison of multiple deep CNN methods for multiple organ detection in CT images Daiki Kanoh, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2021-10 |
The scheme of automatically recognizing multiple organs and detecting their localizations in 3D CT images is required fo... [more] | MI2021-10 pp.7-10 |
| SIS, IPSJ-AVM | 2021-06-24 10:10 |
Online | Online | Improvement of Verification Accuracy Using CNN for Color Halftone Images Yuto Matsuoka, Shoko Imaizumi, Takahiko Horiuchi (Chiba Univ.) SIS2021-3 |
In this paper, we propose an automatic collation method, which improves the verification accuracy against visual compari... [more] | SIS2021-3 pp.13-18 |
| 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 |
| SIS | 2021-03-04 09:40 |
Online | Online | Development of underwater sound wave propagation simulator handling sound source movement and element directivity Kouhei Suzuki, Shingo Yoshizawa (Kitami Inst. of Tech.) SIS2020-37 |
Communication performance and position accuracy in underwater acoustic communication and localization are affected by so... [more] | SIS2020-37 pp.11-14 |
| PRMU, IPSJ-CVIM | 2021-03-04 10:45 |
Online | Online | [Short Paper]
High-Resolution Image Completion by Hierarchical Neural Process Masato Miyahara, Daisuke Sato, Masato Fukuda, Narimune Matsumura, Yoshiki Nishikawa (NTT) PRMU2020-74 |
Neural Process (NP) is a deep generation model which can consider the uncertainty of prediction. The unknown output is ... [more] |
PRMU2020-74 pp.31-34 |
| PRMU | 2020-12-17 10:15 |
Online | Online | Synthesize talking anime-heads images by tunneling through human-heads domain Shun Fujiuchi, Ryo Hachiuma, Kunihiro Hasegawa, Hideo Saito (Keio Univ.) PRMU2020-39 |
Avatars are widely used on the Internet to establish non-verbal communication without exposing one's physical identity. ... [more] | PRMU2020-39 pp.7-11 |
| MI, IE, SIP, BioX, ITE-IST, ITE-ME [detail] | 2020-05-28 09:20 |
Online | Online | Effect of Data Allocation between Number of Pixels and Frame Rate for Subjective Quality of Motion Image under a Fixed Data Rate Yoshitaka Ikeda, Kosuke Nomura, Yuichi Kusakabe (NHK) |
In this study, we conducted a subjective evaluation using a stimulus-comparison method (adjectival categorical judgement... [more] | |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-05 16:05 |
Fukuoka | Kyushu Institute of Technology (Cancelled but technical report was issued) |
Implementation of Multi-view Imaging Systems Using a Mirror Array for Dynamic Light Field Acquisition Satoshi Fujigaki (Tokyo Univ. of Science/NII), Kazuya Kodama (NII), Takayuki Hamamoto (Tokyo Univ. of Science) IMQ2019-26 IE2019-108 MVE2019-47 |
Lens arrays enable us to easily achieve inexpensive light field acquisition in comparison with massive camera arrays. Ho... [more] | IMQ2019-26 IE2019-108 MVE2019-47 pp.57-62 |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-06 14:50 |
Fukuoka | Kyushu Institute of Technology (Cancelled but technical report was issued) |
A high-compression video coding method for video analysis using Deep Learning Tomonori Kubota, Takanori Nakao, Eiji Yoshida (Fujitsu Lab.) IMQ2019-39 IE2019-121 MVE2019-60 |
In this paper, we propose a high-compression video coding method for video analysis using Deep Learning. The method anal... [more] | IMQ2019-39 IE2019-121 MVE2019-60 pp.121-126 |
| NC, MBE (Joint) |
2020-03-05 09:30 |
Tokyo | University of Electro Communications (Cancelled but technical report was issued) |
Improving Adversarial Robustness Based on Adversarial Training Consideration Ryota Komiyama, Motonobu Hattori (Univ. of Yamanashi) NC2019-90 |
Neural networks are used for various tasks because of their high performance. However, it is known that even a high-per... [more] |
NC2019-90 pp.83-88 |
| HWS, VLD [detail] | 2020-03-07 10:55 |
Okinawa | Okinawa Ken Seinen Kaikan (Cancelled but technical report was issued) |
Causes of Entropy Loss on Non-IID PUFs and their Entropy Estimations (2) Mitsuru Shiozaki (Ritsumeikan Univ.), Yohei Hori (AIST), Shunsuke Okura, Masayoshi Shirahata, Takeshi Fujino (Ritsumeikan Univ.) VLD2019-139 HWS2019-112 |
Recently, evaluation items and evaluation schemes of Physically Unclonable Functions (PUFs) are discussed in internation... [more] | VLD2019-139 HWS2019-112 pp.263-268 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-15 09:50 |
Kagoshima | Kagoshima University | IMQ2018-57 IE2018-141 MVE2018-88 |
Lens arrays enable us to easily achieve inexpensive light field acquisition in comparison with massive camera arrays. Ho... [more] | IMQ2018-57 IE2018-141 MVE2018-88 pp.197-200 |
| EA, SIP, SP | 2019-03-14 13:30 |
Nagasaki | i+Land nagasaki (Nagasaki-shi) | [Poster Presentation]
MR Image Reconstruction Using Two Types of Dictionaries and the Diagonalization of a BCCB Matrix Kazuma Nakamoto, Kosuke Fujii, Daichi Kitahara, Akira Hirabayashi (Ritsumeikan Univ.) EA2018-112 SIP2018-118 SP2018-74 |
We propose a high-quality MR image reconstruction method using both of an adaptive orthogonal dictionary and a pre-train... [more] | EA2018-112 SIP2018-118 SP2018-74 pp.75-80 |
| MI | 2019-01-22 13:20 |
Okinawa | [Short Paper]
Differences of Segmentation Results by Three Training Data for Cartilage Extraction in Knee MR Images Using Deep Learning Ryoma Aoki, Takeshi Hara (Gifu Univ), Taiki Nozaki, Masaki Matsusako (Dept.of Radiol.,St.Luke's Hosp.), Xiangrong Zhou, Hiroshi Fujita (Gifu Univ) MI2018-76 |
Accurate grasp of cartilage area is important for diagnosis and treatment related to arthropathy diseases. In recent yea... [more] | MI2018-76 pp.63-64 |
|
| PRMU | 2018-12-14 10:45 |
Miyagi | [Short Paper]
Calving prediction using behavioral information from video Kazuma Sugawara (Waseda Univ.), Teppei Nakano, Makoto Akabane (Waseda Univ./IFLab), Tetsunori Kobayashi, Tetsuji Ogawa (Waseda Univ.) PRMU2018-85 |
This study presents calving prediction methods focusing on cows' pre-calving behaviors and their changes. Livestock far... [more] |
PRMU2018-85 pp.57-60 |
|
| PRMU | 2018-12-14 14:40 |
Miyagi | Calving sign detection with cattle state-based feature extraction from video frames Ryosuke Hyodo, Saki Yasuda (Waseda Univ.), Susumu Saito (Waseda Univ./iflab, inc.), Yusuke Okimoto (Waseda Univ.), Teppei Nakano, Makoto Akabane (Waseda Univ./iflab, inc.), Tetsunori Kobayashi, Tetsuji Ogawa (Waseda Univ.) PRMU2018-90 |
Requirements that camera-based automatic calving sign detection should meet are established and a system satisfying thes... [more] | PRMU2018-90 pp.79-84 |
|
| IMQ | 2018-10-19 15:05 |
Kyoto | Kyoto Institute of Technology | Examination of dimensionality of multilayer perceptron estimating dislocation regions in multicrystalline silicon photoluminescence image Hiroaki Kudo, Tetsuya Matsumoto (Nagoya Univ.), Kentaro Kutsukake (RIKEN), Noritaka Usami (Nagoya Univ.) IMQ2018-14 |
In this report, we studied a specified method of regions including dislocations which are crystallographic defects in a ... [more] | IMQ2018-14 pp.19-24 |
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