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Technical Committee on Signal Processing (SIP) (Searched in: 2019)
Search Results: Keywords 'from:2019-05-23 to:2019-05-23'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIP, MI, IE | 2019-05-23 13:00 |
Aichi | Optimum 2-D Sparse Array with Extended Aperture for Accurate DOA Estimation Shogo Nakamura, Sho Iwazaki, Koichi Ichige (Yokohama Nat'l Univ.)  SIP2019-1 IE2019-1 MI2019-1 |
We present a way of optimizing 2-D sparse array with extended aperture and its interpolation method based on simulated a... [more] | SIP2019-1 IE2019-1 MI2019-1 pp.1-6 |
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| SIP, MI, IE | 2019-05-23 13:25 |
Aichi | OCT Volumetric Data Restoration with 3-D Non-separable Oversampled Lapped Transforms Yuta Yoshida, Genki fujii (Graduate School of Science and Tech., Niigata Univ.), Shogo Muramatsu, Samuel Choi (Niigata Univ.), Shunsuke Ono (Tokyo Institute of Tech.), Takeru Ota, Fumiaki Nin, Hiroshi Hibino (Niigata Univ.) SIP2019-2 IE2019-2 MI2019-2 |
[more] | SIP2019-2 IE2019-2 MI2019-2 pp.7-12 |
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| SIP, MI, IE | 2019-05-23 13:50 |
Aichi | Bitcube-based Perceptual Encryption in Quantized DCT Coefficients Kosuke Shimizu, Taizo Suzuki (Univ. of Tsukuba) SIP2019-3 IE2019-3 MI2019-3 |
[more] | SIP2019-3 IE2019-3 MI2019-3 pp.13-17 |
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| SIP, MI, IE | 2019-05-23 14:15 |
Aichi | Exact short-time sinusoidal parameter estimation in the wavelet structure Shigeru Ando (Univ. Tokyo) SIP2019-4 IE2019-4 MI2019-4 |
This paper describes a parmeter estimation method of real sinusoids from finite length waveform. Being based on the exac... [more] | SIP2019-4 IE2019-4 MI2019-4 pp.19-24 |
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| SIP, MI, IE | 2019-05-23 15:00 |
Aichi | SIP2019-5 IE2019-5 MI2019-5 |
[more] | SIP2019-5 IE2019-5 MI2019-5 p.25 |
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| SIP, MI, IE | 2019-05-23 16:00 |
Aichi | [Special Talk]
Introduction of recent hardware and software for AI researches and their applications to medical imaging Hirofumi Suzuki (NVIDIA) SIP2019-6 IE2019-6 MI2019-6 |
[more] | SIP2019-6 IE2019-6 MI2019-6 pp.27-28 |
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| SIP, MI, IE | 2019-05-24 09:00 |
Aichi | Hierarchical Personal Identification in Short and Long Distance using Blink Motion Features Mariko Nakano, Ritsuko Tokunaga, Yoko Uchida, Daisuke Sugimura (Tsuda Univ.) SIP2019-7 IE2019-7 MI2019-7 |
We propose a method for person identification using blink motion features. Previous methods are difficult to achieve a p... [more] | SIP2019-7 IE2019-7 MI2019-7 pp.29-32 |
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| SIP, MI, IE | 2019-05-24 09:25 |
Aichi | Applying traveling salesman problem to light fields coding using HEVC and its performance evaluation Kota Imaeda, Kohei Isechi, Keita Takahashi, Toshiaki Fujii (Nagoya Univ.), Yukihiro Bandoh, Takehito Miyazawa, Seishi Takamura, Atsushi Shimizu (NTT) SIP2019-8 IE2019-8 MI2019-8 |
We studied a coding scheme for a light field (LF), which is represented as dense multi-view images, using state-of-the-a... [more] | SIP2019-8 IE2019-8 MI2019-8 pp.33-38 |
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| SIP, MI, IE | 2019-05-24 09:50 |
Aichi | Design of Multiresolution Directional Discrete Cosine Transform Masami Yamada, Seisuke Kyochi (The Univ. of Kitakyushu), Taizo Suzuki (Univ. of Tsukuba) SIP2019-9 IE2019-9 MI2019-9 |
[more] | SIP2019-9 IE2019-9 MI2019-9 pp.39-44 |
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| SIP, MI, IE | 2019-05-24 10:15 |
Aichi | Region-Adaptive Range-Kernel-Optimization for Constant-time Bilateral Filtering Takahisa Miyamura (NIT), Kenjiro Sugimoto (Waseda Univ.), Norishige Fukushima (NIT), Sei-ichiro Kamata (Waseda Univ.) SIP2019-10 IE2019-10 MI2019-10 |
Bilateral filter (BF) is a kind of edge-preserving filter and is used in various image processing applications. BF suffe... [more] | SIP2019-10 IE2019-10 MI2019-10 pp.45-50 |
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| SIP, MI, IE | 2019-05-24 13:00 |
Aichi | SIP2019-11 IE2019-11 MI2019-11 |
(To be available after the conference date) [more] | SIP2019-11 IE2019-11 MI2019-11 p.51 |
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| SIP, MI, IE | 2019-05-24 14:00 |
Aichi | Analysis of deaeration deformation for ex vivo animal lung Kotaro Kobayashi, Megumi Nakao, Junko Tokuno, Toyofumi F. Chen-Yoshikawa, Hiroshi Date, Tetsuya Matsuda (Kyoto Univ.) SIP2019-12 IE2019-12 MI2019-12 |
Recent advance of imaging techniques enables to visualize minute lung nodules in the early stage cancer. Although lung n... [more] | SIP2019-12 IE2019-12 MI2019-12 pp.53-58 |
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| SIP, MI, IE | 2019-05-24 14:25 |
Aichi | Construction of a Multiscale Model of Pancreastic Tumors by Integration of MR and Pathological Images Tomoshige Shimomura, Mauricio Kugler, Tatsuya Yokota (NIT), Chika Iwamoto, Kenoki Ohuchida, Makoto Hashizume (Kyushu Univ.), Hidekata Hontani (NIT) SIP2019-13 IE2019-13 MI2019-13 |
(To be available after the conference date) [more] | SIP2019-13 IE2019-13 MI2019-13 pp.59-60 |
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| SIP, MI, IE | 2019-05-24 14:50 |
Aichi | Fetal state estimation based on Cardiotocogram classification Shota Harada, Hideaki Hayashi (Kyushu Univ.), Shunsuke Koga (Kyushu Medical Center), Daisuke Shigemi (Obex), Aayako Shibata (Yodogawa Christian Hospital), Masayoshi Yoshida (Hakataminami building Naika Clinic), Yasuyuki Hasuo (Kyushu Medical Center), Seiichi Uchida (Kyushu Univ.) SIP2019-14 IE2019-14 MI2019-14 |
Cardiotocogram (CTG) is a recording of fetal heart rate and uterine contraction pressure over time, and is used clinical... [more] | SIP2019-14 IE2019-14 MI2019-14 pp.61-63 |
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| SIP, MI, IE | 2019-05-24 15:15 |
Aichi | On the influence of data augmentation and network structures in bleeding detection from brain CT images using deep learning Zhongyang Lu, Masahiro Oda, Tong Zheng, Chen Shen, Tao Hu (Graduate School of Informatics, Nagoya Univ), Takeyuki Watadani, Osamu Abe (Department of Radiology,The University of Tokyo Hospital), Masahiro Hashimoto, Masahiro Jinzaki (Department of Radiology,Keio University School of Medicine), Kensaku Mori (Graduate School of Informatics, Nagoya Univ) SIP2019-15 IE2019-15 MI2019-15 |
Based on deep learning technique, the performance of image classification has made great progress. However, their state-... [more] | SIP2019-15 IE2019-15 MI2019-15 pp.65-70 |
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| SIP, MI, IE | 2019-05-24 15:40 |
Aichi | [Short Paper]
Latte art generation by using saliency region detection with GAN Nobuhiko Konishi, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda (Hiroshima Univ) SIP2019-16 IE2019-16 MI2019-16 |
[more] | SIP2019-16 IE2019-16 MI2019-16 pp.71-72 |
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