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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 108 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2021-02-18
15:40
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] MMS2021-11 ME2021-11 AIT2021-11
pp.53-58
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2021-02-18
16:40
Online Online A note on improvement of image sentiment analysis based on introduction of image captioning
Yun Liang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Recently, with the popularization of social network services, the images uploaded by users have been increasing. Users t... [more] MMS2021-13 ME2021-13 AIT2021-13
pp.65-69
ME, SIP 2020-12-16
13:00
Online Online A study on hierarchical estimation of road narrowing conditions by piled snow in in-vehicle cameras
Kozo Okumura, Sho Takahashi, Toru Hagiwara (Hokkaido Univ.)
Snow fall regions are facing the challenges such as the aging and decrease in the number of the snow removal workers. Re... [more] ME2020-102
pp.1-4
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2020-02-27
11:15
Hokkaido Hokkaido Univ.
(Cancelled)
Composition Presentation of Room Images with Composition Feature
Taiki Akama (UEC), Masachika Suzuki, Hisao Kimura, Yoshio Asada, Keisuke Suzuki (AVANT), Hiroki Takahashi (UEC)
Taking some real estate room images for searching site, detection composition features and presenting appropriate compos... [more] MMS2020-7 HI2020-7 ME2020-35 AIT2020-7
pp.35-40
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2020-02-27
16:35
Hokkaido Hokkaido Univ.
(Cancelled)
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] MMS2020-22 HI2020-22 ME2020-50 AIT2020-22
pp.113-118
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2020-02-28
16:50
Hokkaido Hokkaido Univ.
(Cancelled)
A Note on Image Retrieval Focusing on Objects in Images -- Improving Retrieval Performance Based on Object Recognition Using RetinaNet --
Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Image retrieval method using a text as a query is effective because it enables users to prepare query easily. In these m... [more] MMS2020-49 HI2020-49 ME2020-77 AIT2020-49
pp.377-381
BCT, IEICE-OCS, IEICE-OFT, IEE-CMN [detail] 2019-11-21
14:30
Yamaguchi Kaikyo-Messe-Shimonoseki Micro QR code reading experiment for trial production of reflection type optical modulator
Shigenori Takeda (Kogakuin Univ.), Kazuto Doke, Yoshiaki Nakano (NT), Mikio Maeda (Kogakuin Univ.)
We have been researching on a live video transport system that sends moving images from an underwater vehicle to a ship ... [more] BCT2019-85
pp.7-12
IEICE-SIS, IPSJ-AVM, 3DMT [detail] 2019-06-13
13:55
Nagasaki Fukue Culture Center Accuracy Improvement of Depth Estimation from a Single Still Image Using Feature Pyramid Network
Yudai Fukuda, Takuro Oki, Ryusuke Miyamoto (Meiji Univ.)
Depth estimation from a single shot image have become accurate drastically after emergence of deep
neural networks that... [more]

AIT, IIEEJ, AS, CG-ARTS 2019-03-12
14:00
Tokyo Waseda Univ. LinDA:Features Extraction and Classification of Line Segments for Semi-Automatic Generation of Cartoon Background Images
Megumi Nomura, Masanori Nakayama, Issei Fujishiro (Keio Univ.)
For cartoon novices, it is effective to reuse as their background images, line drawing materials drawn and opened to the... [more] AIT2019-139
pp.315-318
ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] 2019-02-19
16:30
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] MMS2019-15 HI2019-15 ME2019-37 AIT2019-15
pp.125-130
ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] 2019-02-20
16:15
Hokkaido Hokkaido Univ. [Invited Talk] Automatic Gaze Correction based on Deep Learning and Image Warping
Masataka Seo, Yamamoto Takahiro (Ritsumeikan Univ), Toshihiro Kitajima (Samsung), Chen Yen-Wei (Ritsumeikan Univ)
When people take a selfie photo or talk through a video chat system, they tend to look at the screen. Since the position... [more] MMS2019-25 HI2019-25 ME2019-47 AIT2019-25
pp.255-259
ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] 2019-02-20
11:00
Hokkaido Hokkaido Univ. A Note on Estimation of Rock Drilling Energy Using Tunnel Working Face Images
Kentaro Yamamoto, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
In tunnel construction, it is important to grasp the geological condition of the rock to shorten the construction period... [more] MMS2019-32 HI2019-32 ME2019-54 AIT2019-32
pp.291-294
ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] 2019-02-20
13:15
Hokkaido Hokkaido Univ. A Note on Gastritis Detection from Gastric X-ray Images via Transfer Learning Approach
Misaki Kanai, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a method for gastritis detection from gastric X-ray images via a transfer learning approach using a ... [more] MMS2019-37 HI2019-37 ME2019-59 AIT2019-37
pp.315-318
ME 2019-02-09
13:30
Kanagawa Kanto Gakuin University Video classification using signals and semantic level metadata for ambiguous video search
Ryunosuke Itabashi, Nobuyuki Yagi (Tokyo City Univ.)
It is becoming possible to find the expected videos in the internet with considerable accuracy, but the developed techno... [more] ME2019-11
pp.31-34
ME 2019-02-09
14:00
Kanagawa Kanto Gakuin University Quantitative evaluations of aging impression of males based on the analysis of appearance features in facial skin
Yutaka Ishizaki, Tomoaki Nakamura, Masahide Kaneko (UEC)
Nowadays the interests in men's skin care and makeup become increasing. To develop cosmetics for men, it is necessary to... [more] ME2019-19
pp.63-66
IST 2018-11-28
16:30
Tokyo Tamachi Campus, TITECH [Poster Presentation] Implantable CMOS Image Sensor Using Multilayer Filter Emission and Fiber Coupled Laser Excitation
Erus Rustami, Yasumi Ohta, Kiyotaka Sasagawa, Makito Haruta (NAIST), Toshihiko Noda (TUT), Takashi Tokuda, Jun Ohta (NAIST)
We proposed a new method in combining composite emission filters with fiber coupled laser excitation for lens-free fluor... [more] IST2018-70
pp.23-24
IST 2018-03-09
16:15
Tokyo NHK Housou-Gijyutu Lab. [Invited Talk] SOI monolithic pixel technology for radiation image sensor
Yasuo Arai, Toshinobu Miyoshi, Ikuo Kurachi (KEK)
Silicon-On-Insulator (SOI) technology is a suitable choice to realize monolithic radiation imaging device as it involves... [more] IST2018-25
pp.61-66
ME 2018-02-24
14:30
Kanagawa Kanto Gakuin Univ. A consideration of video search for ambiguous aim
Ryunosuke Itabashi, Nobuyuki Yagi (Tokyo City Univ.)
It is becoming possible to find the expected videos in the internet with considerable accuracy along with the progress o... [more] ME2018-61
pp.65-68
ME 2018-02-24
14:45
Kanagawa Kanto Gakuin Univ. Quantitative evaluation of male aging impression appearing in face shape and texture change based on image analysis
Kenta Ebisawa, Tomoaki Nakamura, Masahide Kaneko (UEC)
There have been few studies about the change of impression on men’s skin condition caused by aging. In addition, current... [more] ME2018-68
pp.93-96
IEICE-ITS, IEICE-IE, MMS, HI, ME, AIT [detail] 2018-02-15
13:45
Hokkaido Hokkaido Univ. A Note on Accuracy Improvement of Category Classification for Tourism Images in Image Sharing Services Using Deep Learning
Naoki Saito, Takahiro Ogawa (Hokkaido Univ.), Satoshi Asamizu (NIT, Kushiro College), Miki Haseyama (Hokkaido Univ.)
This paper presents a category classification of tourism images in image sharing services. The proposed method obtains t... [more] MMS2018-14 HI2018-14 ME2018-14 AIT2018-14
pp.161-165
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