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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 48  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SP, IPSJ-SLP, EA, SIP [detail] 2023-03-01
(Primary: On-site, Secondary: Online)
Texture Reproduction of Ultrasonic Mid-Air Haptics Based on Amplitude Modulation Signal Generation Using Fricative Sounds Feature Extraction and Hand Tracking
Asuto Ueda, Toru Takahashi, Masato Nakayama (Osaka Sangyo Univ.)
(To be available after the conference date) [more]
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-21
Hokkaido Hokkaido Univ. Text - Image Fashion Retrieval with Textural Features
Daichi Suzuki (Tokyo Univ.), Go Irie (Tokyo Univ of Science), Kiyoharu Aizawa (Tokyo Univ.)
(To be available after the conference date) [more]
Online Online Analysis of deep convolutional neural network texture representation using Portilla-Simoncelli statistics
Yusuke Hamano, Hayaru Shouno (UEC) NC2020-48
Recently, DCNN has achieved significant success in the field of computer vision. It is suggested that the DCNN, which ar... [more] NC2020-48
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2021-02-18
Online Online Texture Analysis and Evaluation of the Shitsukan Research Database Based on Luminance Information
Norifumi Kawabata (Tokyo Univ. of Science)
One of texture component on objects and graphics is luminance. By strength of luminance, human visual perception for cla... [more]
MVE 2020-09-09
Online Online Shitsukan Representation Based on Kansei Model Using Neural Style Feature
Natsuki Sunda, Iori Tani (Kwansei Gakuin Univ.), Kensuke Tobitani (The Univ. of Nagasaki), Atsushi Takemoto, Yusuke Tani, Noriko Nagata (Kwansei Gakuin Univ.), Nobufumi Morita (Couture Digital) MVE2020-18
In this research, we focus on affective texture, which comprises the visual impressions evoked by surface properties, su... [more] MVE2020-18
ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2020-02-27
Hokkaido Hokkaido Univ.
(Cancelled but technical report was issued)
A Study on Region Segmentation of Color Laparoscopic Images after Contrast Enhancement Including Super-Resolution CNN by Image Regions
Norifumi Kawabata (Tokyo Univ. of Science), Toshiya Nakaguchi (Chiba Univ.)
As one of image pre-processing method to detect, recognize, and estimate lesion or characteristic region in medical imag... [more]
MI 2020-01-30
Okinawa OKINAWAKEN SEINENKAIKAN Exploration of image features associated with ruptures of intracranial aneurysms using magnetic resonance angiography
Masayuki Yamanouchi (KMH), Hidetaka Arimura (Kyushu Univ.) MI2019-120
Ruptures of intracranial aneurysms are serious conditions resulting in subarachnoid hemorrhage. We hypothesized that the... [more] MI2019-120
MBE, NC 2019-10-11
Miyagi   Analysis of diffuse lung disease shadows using Bolasso feature selection method
Akihiro Endo (UEC), Kenji Nagata (NIMS), Shoji Kido (Osaka Univ.), Hayaru Shouno (UEC) MBE2019-33 NC2019-24
Diffuse lung disease is an intractable disease and abnormal shadows appear on lung X-ray CT images.
Since various patte... [more]
MBE2019-33 NC2019-24
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2019-02-19
Hokkaido Hokkaido Univ. A Fundamental Study on Laparoscopic Image Region Segmentation Based on Texture Analysis by Regions
Norifumi Kawabata (Nagoya Univ.), Toshiya Nakaguchi (Chiba Univ.)
Most of image region segmentation studies can be divided to both subjective method by assessors and objective method by ... [more]
MI 2019-01-23
Okinawa   Feature Selection from Imbalanced Data -- Pathological Pattern Classification in Endocytoscopic Images --
Hayato Itoh (Nagoya Univ.), Yuichi Mori, Masashi Misawa (Showa Univ.), Masahiro Oda (Nagoya Univ.), Shin-Ei Kudo (Showa Univ.), Kensaku Mori (Nagoya Univ.) MI2018-87
Endocytoscope gives ultramagnified observation that enables physicians to achieve minimally invasive and real-time diagn... [more] MI2018-87
MI 2019-01-23
Okinawa   Investigation of relationships between image features of histological images in prostate cancer and Gleason scores
Kenta Ninomiya, Hidetaka Arimura, Ryoma Koyanagi, Fumio Kinoshita, Alamgir Hossain, Sumiko Watanabe (Kyushu Univ.), Kenjiro Imada (Kyushu Univ. Hosp.), Yoshinao Oda (Kyushu Univ.) MI2018-112
We aimed to investigate relationships between quantitative image features and Gleason scores that are subjectively deter... [more] MI2018-112
IMQ 2018-10-19
Kyoto Kyoto Institute of Technology Classification Method for Texture Types Based on Texture Analysis Results of HEVC Image Quality in the Shitsukan Research Database
Norifumi Kawabata (Nagoya Univ.) IMQ2018-13
As definition of Shitsukan or Texture, there are many kind of meaning and interpretation. Therefore, there were many stu... [more] IMQ2018-13
MI 2018-09-28
Tokyo Tokyo Women's Medical University Estimation of postmortem time for CT images by using texture analysis
Yasushi Hirano, Shoji Kido (Yamaguchi Univ.), Kazuyuki Kinoshita, Kunihiro Inai, Sakon Noriki (Univ. of Fukui) MI2018-35
The dissection rate for dead human bodies with suspicious death is about 11% in Japan. This rate is markedly lower than ... [more] MI2018-35
PRMU, SP 2018-06-29
Nagano   Analysis of speech-to-texture sentiment association characteristics
Win Thuzar Kyaw, Yoshinori Sagisaka (Waseda Univ.) PRMU2018-30 SP2018-10
Aiming at speech visualization using textures or finding texture generation scheme from sentiment information embedded i... [more] PRMU2018-30 SP2018-10
(Joint) [detail]
Okinawa   Feature-selection method based on Grassmann distance for the classification of neoplastic polyps on endocytoscopic images
Hayato Itoh (Nagoya Univ.), Yuichi Mori, Masashi Misawa (Showa Univ.), Masahiro Oda (Nagoya Univ.), Shin-ei Kudo (Showa Univ.), Kensaku Mori (Nagoya Univ.) MI2017-81
An endocytoscope provides ultramagnified observation that enable physicians to achieve minimally invasive and real-time ... [more] MI2017-81
Tokyo Kikai-Shinko-Kaikan Bldg. A Generative Model of Textures Using Hierarchical Probabilistic Principal Component Analysis
Aiga Suzuki, Hayaru Shouno (UEC) NC2016-83
Modeling of natural textures in an important task for microscopic structure of natural images. Portilla and Simon-
cell... [more]
MI 2017-01-18
Okinawa Tenbusu Naha Image analysis approach of ultrasonography for automated assessment of developmental dysplasia of the hip : preliminary study
Yongbum Lee, Akira Hasegawa (Niigata Univ.), Yasuko Minagawa (Kaetsu SoKen Center), Masaki Tsurumaki (Nakajo Cent. Hosp.), Toshiro Iga (Nakajo Cent.) MI2016-96
The purpose of this study is to develop a method for automatic assessment of infant hip dysplasia by means of ultrasonog... [more] MI2016-96
MI 2016-01-20
Okinawa Bunka Tenbusu Kan Texture profiling for local property analysis of induced pluripotent stem cells colony
Risa Sato, Kei Sasaki (Yamagata Univ.), Risako Nagasaka (Nagoya Univ.), Siu Kang (Yamagata Univ.), Kei Kanie, Ryuji Kato (Nagoya Univ.), Tetsuya Yuasa (Yamagata Univ.) MI2015-129
The induced pluripotent stem (iPS) cells represent an aggregate characteristic appearance in a form of colony. Colonies ... [more] MI2015-129
MI 2016-01-20
Okinawa Bunka Tenbusu Kan Texture analysis based image registration between pathological images and MR image
Takashi Ohnishi, Takuya Tanaka, Yuka Nakamura (Chiba Univ.), Nobuhiro Nitta, Ichio Aoki (NIRS), Hideaki Haneishi (Chiba Univ.) MI2015-142
Multi-scale analysis using several modalities of medical image has been conducted. In order to compare the features of i... [more] MI2015-142
(Joint) [detail]
Tokyo Seikei Univ. Taste and Texure Estimation of Food Based on Food Image and Ingredients List
Hiroki Matsunaga (Nagoya Univ.), Keisuke Doman (Chukyo Univ.), Takatsugu Hirayama, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase (Nagoya Univ.) IMQ2014-34 IE2014-95 MVE2014-82
In recent years, consumer generated cooking recipe Web sites like "Rakuten Recipe" have become popular, and the number o... [more] IMQ2014-34 IE2014-95 MVE2014-82
 Results 1 - 20 of 48  /  [Next]  
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