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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, SP | 2017-06-23 14:15 |
Miyagi | A study on keypoint matching with light field information Masayuki Shimizu, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.)  PRMU2017-36 SP2017-12 |
Recently, it is easier to obtain light field data because light field camera is commercially available. From light fiel... [more] |
PRMU2017-36 SP2017-12 pp.63-67 |
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| EMM, IT | 2017-05-22 13:25 |
Yamagata | Yamagata University(Yonezawa Campus) | Digital watermark detection method based on feature point matching using RANSAC algorithm Yo Kitaoka, Kazuhiko Yamaguchi (UEC) IT2017-2 EMM2017-2 |
The geometrical attack easily remove watermark data for the still image. We miss the synchronization of embedding positi... [more] | IT2017-2 EMM2017-2 pp.7-12 |
| EMM | 2017-03-07 13:00 |
Okinawa | Miyakojima Marin Terminal Building (Okinawa) | Protecting User's Location History in Photo-Based Information Query System Kojiro Fujii, Kazuaki Nakamura, Naoko Nitta, Noboru Babaguchi (Osaka Univ.) EMM2016-102 |
With the development of image recognition technology and the spread of mobile devices, photo-based information query ser... [more] | EMM2016-102 pp.91-96 |
| SANE | 2016-11-24 15:10 |
Overseas | National Taipei University of Technology (NTUT) | Modified Nearest Feature Space Approach for High Dimensional Data Sets Yang Lang Chang, Yung-Hao Lai, Tzu-Wei Tseng, Jyh-Perng Fang (NTUT) SANE2016-65 |
With the progress of remote sensing technology, the high volume of high dimensional data sets is increased rapidly. Thus... [more] | SANE2016-65 pp.71-73 |
| SR | 2016-10-28 13:00 |
Osaka | Osaka Univ. Nakanoshima Center | Feature detection scheme using Cyclic Prefix (CP) in OFDM
-- Analytical approach and its results of Output S/N at feature detector -- Kanshiro Kashiki, Tomoki Sada, Akira Yamaguchi (KDDI Research) SR2016-70 |
From the viewpoint of the efficient use of frequency resources in mobile radio service, authors have been investigating ... [more] | SR2016-70 pp.85-92 |
| PRMU, IPSJ-CVIM, IBISML [detail] | 2016-09-05 09:00 |
Toyama | Stroke-by-stroke Order Evaluation of Online Handwritten Kanji Characters using Directional Feature Kazuhiro Mita, Masaki Nakagawa (Tokyo Univ. of Agri. & Tech.) PRMU2016-54 IBISML2016-9 |
This paper presents a stroke order evaluation method for online handwritten Kanji characters written on a tablet. Previo... [more] | PRMU2016-54 IBISML2016-9 pp.1-5 |
|
| SIP | 2016-08-25 15:30 |
Chiba | Chiba Institute of Technology, Tsudanuma Campus | [Invited Talk]
Applications of Deep learning for image diagnosis Hayaru Shouno (UEC) SIP2016-76 |
The ``deep learning'' is the 3rd generation neural network technology, which is exhibiting its characteristics in the bi... [more] | SIP2016-76 pp.23-24 |
| PRMU, SP, WIT, ASJ-H | 2016-06-13 10:00 |
Tokyo | Stroke-by-stroke Kanji Stroke Order Evaluation Using Shape Context Feature Kazuhiro Mita, Masaki Nakagawa (Tokyo Univ. of Agri. & Tech.) PRMU2016-37 SP2016-3 WIT2016-3 |
Learning of writing Kanji characters of Chinese origin is still one of the important subjects in elementary education. T... [more] | PRMU2016-37 SP2016-3 WIT2016-3 pp.13-18 |
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| PRMU, IE, MI, SIP | 2016-05-20 10:00 |
Aichi | High Accuracy Feature Point Tracking for Omnidirectional Image Sequence Hiroshi Tada, Koichi Ichige (Yokohama Nat'l Univ.) SIP2016-16 IE2016-16 PRMU2016-16 MI2016-16 |
In this paper, we propose a highly accurate feature point tracking method for omnidirectional image sequence. It is diff... [more] | SIP2016-16 IE2016-16 PRMU2016-16 MI2016-16 pp.85-90 |
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| SIS | 2016-03-10 15:50 |
Tokyo | Tokyo City Univ. | Feature Point Extraction from A Manga-Style Illustration of A Facial Image Using SIFT and Color Features as A Feature Vector Shun Aoki, Ryusuke Miyamoto (Meiji Univ.) SIS2015-59 |
Several schemes have been proposed to localize facial parts in natural imamges accurately because many practical applica... [more] | SIS2015-59 pp.63-68 |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2016-03-08 09:00 |
Okinawa | Implementation and Evaluation of Pointing Techniques for Large Displays Using a Smartphone Embedded with Multiple Sensors Yuki Mochizuki, Kiyoshi Kiyokawa, Haruo Takemura (Osaka Univ.) IMQ2015-61 IE2015-160 MVE2015-88 |
Recently, large high-resolution displays are becoming increasingly widespread. We propose fast and precise two-mode poin... [more] | IMQ2015-61 IE2015-160 MVE2015-88 pp.187-192 |
|
| ICSS, IPSJ-SPT | 2016-03-04 10:00 |
Kyoto | Academic Center for Computing and Media Studies, Kyoto University | A fast detecting method for obfuscated malicious JavaScript based on text pattern analysis Jiawei Su, Katsunari Yoshioka, Junji Shikata, Tsutomu Matsumoto (YNU) ICSS2015-58 |
The malicious JavaScript is a common springboard for attackers to launch several types of network attacks, such as Drive... [more] | ICSS2015-58 pp.65-70 |
| NC, NLP (Joint) |
2016-01-29 11:20 |
Fukuoka | Kyushu Institute of Technology | Feature quantities for analysis of digital maps Tokoki Hamaguchi, Hiroki Yamaoka, Toshimichi Saito (HU) NLP2015-139 |
his paper studies simple digital dynamical systems that can generate various periodic orbits. In order to consider the... [more] |
NLP2015-139 pp.75-79 |
| SP | 2016-01-14 15:10 |
Kanagawa | Sunpian Kawasaki | Objective evaluation of synthetic speech using association between dimensions within spectral features Yusuke Ijima, Taichi Asami (NTT), Hideyuki Mizuno (TUSS) SP2015-90 |
This paper proposes a novel objective evaluation technique for statistical parametric speech synthesis. A novel point of... [more] | SP2015-90 pp.27-32 |
| PRMU | 2015-12-21 15:10 |
Nagano | Local feature description for keypoint matching Mitsuru Ambai (Denso IT Laboratory, Inc.), Takahiro Hasegawa, Hironobu Fujiyoshi (Chubu University) PRMU2015-104 |
A task of finding physically the sample points among multiple images captured from different viewpoints is called as key... [more] | PRMU2015-104 pp.53-73 |
|
| RECONF | 2015-09-18 09:50 |
Ehime | Ehime University | Comparison of machine learning classifiers for HOG-based human detection on an FPGA Masahito Oishi, Yoshiki Hayashida, Ryo Fujita, Yuichiro Shibata, Kiyoshi Oguri (Nagasaki Univ.) RECONF2015-34 |
In this paper, we compare Real AdaBoost and a linear SVM from a view point of FPGA implementation of an image-based huma... [more] | RECONF2015-34 pp.13-18 |
| IE, ITE-ME, IPSJ-AVM, ITE-CE [detail] | 2015-08-03 11:20 |
Tokyo | Tokyo Metropolitan Univ. | Consideration of Time Interval for Face Recognition Using Motion Input Sequence Kazuo Ohzeki, Ryota Aoyama, Yutaka Hirakawa (SIT) IE2015-48 |
Face recognition algorithm using feature points of face parts which is classified in a feature-based methods. As recogni... [more] | IE2015-48 pp.13-18 |
| SP, IPSJ-SLP (Joint) |
2015-07-17 11:10 |
Nagano | Katakura Suwako Hotel | [Invited Talk]
Aspects of feature extraction in DNN acoustic models Takuya Yoshioka, Marc Delcroix, Masakiyo Fujimoto, Tomohiro Nakatani (NTT) SP2015-46 |
Since the advent of acoustic models based on deep neural networks (DNNs), a vast amount of efforts have been made to fur... [more] | SP2015-46 pp.61-65 |
| EMCJ | 2015-07-09 13:50 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | A Surrogate Model Based Algorithm for Near-Field Reconstruction Zixuan Huang (電通大/UESTC), Yoshio Kami, Fengchao Xiao (UEC) EMCJ2015-37 |
An algorithm for the Near-Field (NF) reconstruction is investigated in this research. The algorithm is based on a sequen... [more] | EMCJ2015-37 pp.37-41 |
| PRMU, BioX | 2015-03-19 10:00 |
Kanagawa | 3D Object Recognition Method Using Relationship of Length and Angle in Feature Points Seiichi Maehara, Hiroki Imamura (Soka Univ.) BioX2014-40 PRMU2014-160 |
Recent years，there is SHOT method for extracting feature points in local areas．This method has the advantage of high s... [more] | BioX2014-40 PRMU2014-160 pp.7-10 |
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