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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIS, ITE-BCT | 2023-10-13 11:05 |
Yamaguchi | HISTORIA UBE (Primary: On-site, Secondary: Online) |
Proposal of a fractal dimensional filter and its application to the detection of Schlegel's green frog voices. Hideo Shibayama (Shibaura Institute of Technology), Yoshiaki Makabe (Kanagawa Institute of Technology), Kenji Muto (Shibaura Institute of Technology), Tomoaki Kimura (Kanagawa Institute of Technology)  SIS2023-22 |
We propose a fractal dimensional filter to estimate time-position of the target sound from time series data. The filter ... [more] | SIS2023-22 pp.35-40 |
| SIS | 2022-12-06 10:30 |
Osaka | (Primary: On-site, Secondary: Online) |
Non Local Means Based on Local Statistics for Image Sequence Denoising Ayae Takei, Mitsuhiko Meguro (Nihon Univ.) SIS2022-37 |
In this paper, we propose an extended Non Local Means for denoising noisy image sequences.Non Local Means is an image de... [more] | SIS2022-37 pp.80-85 |
| PRMU, IPSJ-CVIM | 2021-03-05 16:10 |
Online | Online | Cross-view Non-local Neural Networks for Joint Representation Learning between First and Third Person Videos Zhehao Zhu, Yusuke Sugano, Yoichi Sato (UTokyo) PRMU2020-99 |
This paper introduces a cross-view non-local neural network to learn joint representations for understandinghuman activi... [more] | PRMU2020-99 pp.170-175 |
| PRMU | 2020-12-18 17:15 |
Online | Online | Rethinking the local similarity in content-based image retrieval Longjiao Zhao (Nagoya Univ.), Yu Wang (Ritsumeikan Univ), Yoshiharu Ishikawa (Nagoya Univ.), Jien Kato (Ritsumeikan Univ) PRMU2020-68 |
Recently, Convolutional Neural Networks(CNN) have shown good performance in the image retrieval task. Especially, local ... [more] | PRMU2020-68 pp.172-176 |
| MoNA | 2018-12-25 11:05 |
Tokyo | Network traffic prediction method considering chaos theory with TCP and UDP Naoto Suzuki, Sumiko Miyata (SIT) MoNA2018-43 |
With the diversification of streaming communication, we need to predict network traffic in a mixed environment of TCP an... [more] | MoNA2018-43 pp.25-30 |
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| CS, IE, IPSJ-AVM, ITE-BCT [detail] | 2018-11-29 13:25 |
Tokushima | Tokushima University (Memorial Hall of Almuni(Engineering)) | Image Denoising by Non-local Means Using Half-pixel Yusuke Kaniyashiki, Kousuke Imamura, Yoshio Matsuda (Kanazawa Univ.) CS2018-75 IE2018-54 |
We propose a new noise reduction method based on non-local means using the pixels at half-pixel position. The performan... [more] |
CS2018-75 IE2018-54 pp.33-38 |
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-20 09:00 |
Okinawa | [Poster Presentation]
Speech Enhancement Using Non-Local Means Kyohei Mitani, Yosuke Sugiura, Tetsuya Shimamura (Saitama Univ.) EA2017-142 SIP2017-151 SP2017-125 |
In this paper, we propose a speech enhance method using Non-Local Means. In the proposed method, we focus on Non-Local M... [more] | EA2017-142 SIP2017-151 SP2017-125 pp.227-230 |
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| 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 |
| IBISML | 2017-11-10 13:00 |
Tokyo | Univ. of Tokyo | IBISML2017-85 |
We consider binary classification problems using local features of objects. One of motivating applications is time-serie... [more] | IBISML2017-85 pp.361-368 |
| SP, SIP, EA | 2017-03-01 12:40 |
Okinawa | Okinawa Industry Support Center | [Poster Presentation]
Estimation of playing position from music and speech sources based on music database Satoshi Inui, Toru Takahashi (OSU) EA2016-105 SIP2016-160 SP2016-100 |
We describe about music information retrieval (MIR) system in real environment. In the environment, music and non-music ... [more] | EA2016-105 SIP2016-160 SP2016-100 pp.129-134 |
| IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2017-02-20 14:45 |
Hokkaido | Hokkaido Univ. | A Note on Accurate Extraction of Concept Relationships Using Tagged Images Shota Hamano, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a method for accurate extraction of concept relationships using tagged images. Previous methods extr... [more] | |
| IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2017-02-21 16:00 |
Hokkaido | Hokkaido Univ. | A Study on Local Adaptation of Extended Joint Bilateral Filtering for Color Compression Artifacts Reduction Naofumi Wada, Hiroki Matsuzaki, Hirofumi Sanada (HUS) ITS2016-62 IE2016-120 |
The purpose of our research is color bleeding reduction for images and videos compressed by 4:2:0 color format. We propo... [more] | ITS2016-62 IE2016-120 pp.305-310 |
| SIS, IPSJ-AVM | 2016-09-01 13:40 |
Osaka | Osaka Electro-Communication Univ. | Random-Valued Impulse Noises Removal by Weighted Non-local Median Filter Jyohei Matsuoka (Yamaguchi Univ.), Takanori Koga (NIT, Tokuyama College), Noriaki Suetake, Eiji Uchino (Yamaguchi Univ.) SIS2016-18 |
As one of the random-noise removal methods, there is a non-local median filter. Non-local median filter is excelled in... [more] |
SIS2016-18 pp.13-16 |
| MICT, ASN, MoNA (Joint) |
2016-01-28 10:20 |
Kanagawa | Hotel Okada | Indoor Location Estimation using Radio Fingerprints with Relative Offsets of Measurement Points Yuta Azuma, Takeshi Umezawa, Noritaka Osawa (Chiba Univ.) MoNA2015-37 |
This paper proposes an indoor location estimation method using radio signal strength at multipoints as fingerprints. The... [more] | MoNA2015-37 pp.1-6 |
| SIS | 2015-12-03 13:35 |
Fukui | Matsuya-sensen (Awara city, Fukui) | Robust Non Local Means with Similarty Measure for Mixed Noise Removal Haruki Niikura, Mitsuhiko Meguro (Nihon Univ.) SIS2015-30 |
In this paper, we propose two Non Local Means (NL-means) algorithms with robustness for Gaussian and mixed noise removal... [more] | SIS2015-30 pp.7-12 |
| NLC | 2015-09-11 09:30 |
Tokyo | Convention Room AP Shibuya-Dogenzaka (Tokyo) | Analysis for relation among areas using news articles Masato Fukuchi, Takeru Yokoi, Michihiro Kobayakawa (TMCIT) NLC2015-28 |
News article is an information dissemination media which has promptly and locality characteristics. It shows the daily n... [more] | NLC2015-28 pp.53-56 |
| ICD, CPSY | 2014-12-01 15:15 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | [Poster Presentation]
A Scalable Hardware Architecture of Locality-Sesitive Hashing for similarity Search Tsunaki Sadahisa, Kasho Yamamoto, Dahoo Kim, Eric S. Fukuda, Tetsuya Asai, Masato Motomura (Hokkaido Univ.) ICD2014-83 CPSY2014-95 |
Locality-Sensitive Hashing (LSH) is a hash function that projects similar data into memory closely. In similarity search... [more] | ICD2014-83 CPSY2014-95 p.45 |
| IPSJ-AVM, CS, IE, ITE-BCT [detail] | 2013-12-05 14:30 |
Kyoto | 60th Anniversary Hall, Kyoto Institute of Technology | Reconstructing Color Image Based on Compressed Sensing Using Local Spatial Similarity and Color Correlation Masaru Tomabechi, Daisuke Sugimura, Tadaaki Hosaka, Takayuki Hamamoto (TUS) CS2013-68 IE2013-79 |
In this paper, we propose a method to reconstruct the color image based on joint compressed sensing. In the conventional... [more] | CS2013-68 IE2013-79 pp.65-68 |
| ASN | 2013-11-28 10:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | [Poster Presentation]
Localization Where Conventional Methods Are Unavailable
-- Approach of Using Time Of Arrival -- Yuki Watase, Shinsuke Hara (Osaka City Univ.) ASN2013-93 |
When disaster happens in houses and buildings, indoor localization for survivers and rescuers is the most essential, but... [more] | ASN2013-93 pp.27-30 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2013-09-03 10:30 |
Tottori | A specific object recognition method based on mixtures of probabilistic principal component analyzers Takashi Takahashi (Ryukoku Univ.), Takio Kurita (Hiroshima Univ.) PRMU2013-47 IBISML2013-27 |
We investigate a method of specific object recognition that utilizes image feature representation extracted from the dis... [more] | PRMU2013-47 IBISML2013-27 pp.161-166 |
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