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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 32  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IMQ 2022-10-21
13:40
Aichi E and S Building, Higashiyama Campus, Nagoya Univ. HEVC Image Quality Assessment for eXtended Reality (XR) Based on 360 Degrees Camera
Norifumi Kawabata (Computational Imaging Lab)
(To be available after the conference date) [more]
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] 2022-02-21
12:45
Online Online Quality Assessment for 3D CG Image Colorization Using Visible Digital Watermarking after Noise Removal Based on Sparse Dictionary Learning Coding
Norifumi Kawabata (Hokkaido Univ.)
Thus far, we discussed to represent image data whether it is possible or not to represent meaning image how requirement ... [more]
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] 2022-02-21
15:50
Online Online Statistical Analysis on Estimation of Laparoscopic Image Region of Interest Including Contrast Enhancement Based on Saliency Map
Norifumi Kawabata (Hokkaido Univ.), Toshiya Nakaguchi (Chiba Univ.) ITS2021-34 IE2021-43
In the medical field such as hospital, there are many chance for medical workers to see medical images visually. Therefo... [more] ITS2021-34 IE2021-43
pp.55-60
MI 2022-01-26
13:00
Online Online Relationship between Image Quality and Learning Effect in Color Laparoscopic Images Generation by Generative Adversarial Networks
Norifumi Kawabata (Hokkaido Univ.), Toshiya Nakaguchi (Chiba Univ.) MI2021-59
Improving of personal computer performance, it is possible for healthcare workers and related researchers to support for... [more] MI2021-59
pp.59-64
MI 2021-03-17
11:00
Online Online Optimal Design and Quality Assessment of Color Laparoscopic Super-Resolution Image by Generative Adversarial Networks
Norifumi Kawabata (Tokyo Univ. of Science), Toshiya Nakaguchi (Chiba Univ.) MI2020-91
The Generative Adversarial Networks (GAN) is unsupervised learning enabled to transform according to data characteristic... [more] MI2020-91
pp.186-190
MVE, IMQ, IE, CQ
(Joint) [detail]
2021-03-03
10:10
Online Online Self-Localization of Autonomous Car Using Autoware
Norifumi Kawabata, Yukiya Kuwabara, Takumi Kawasaki (Tokyo Univ. of Science) IMQ2020-31 IE2020-71 MVE2020-63
Autoware, which is one of the open software system for automatic driving, is able to simulate autonomous car technology ... [more] IMQ2020-31 IE2020-71 MVE2020-63
pp.103-108
IE, ITS, ITE-MMS, ITE-ME, ITE-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]
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2021-02-18
14:50
Online Online Production and Evaluation of Data Set for Semantic Segmentation of 3D CG Image by H.265/HEVC
Norifumi Kawabata (Tokyo Univ. of Science) ITS2020-30 IE2020-44
As one of purpose of study on image segmentation, we are able to consider whether between object and background region c... [more] ITS2020-30 IE2020-44
pp.19-24
MICT, MI 2020-11-04
15:50
Online Online [Short Paper] An Experimental Study on Color Laparoscopic High-Definition Video Quality Assessment Including Super-resolution
Norifumi Kawabata (Tokyo Univ. of Science), Toshiya Nakaguchi (Chiba Univ.) MICT2020-19 MI2020-45
After considering medical image analysis support, it is one of importance factors to assess high-definition image qualit... [more] MICT2020-19 MI2020-45
pp.60-61
ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2020-02-27
16:35
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]
IMQ 2019-10-04
14:00
Osaka Osaka University 3D CG Image Quality Assessment Including Noise Removal Based on Sparse Dictionary Learning Coding
Norifumi Kawabata (Tokyo Univ. of Science) IMQ2019-6
By appearing of high-definition and high-quality images, it comes to increase many chance to process image big data. If ... [more] IMQ2019-6
pp.1-10
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-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]
MICT, MI 2018-11-06
10:40
Hyogo University of Hyogo Improvement of Laparoscopic Color Image Diagnosis for Automatic Detection of Coded Defect Region and Application of Effective Classifier Parameter
Norifumi Kawabata (Nagoya Univ.), Toshiya Nakaguchi (Chiba Univ.) MICT2018-42 MI2018-42
In addition to judgment by human eyes up to the present, it is advanced for R&D of diagnostic imaging systems by using a... [more] MICT2018-42 MI2018-42
pp.21-26
IMQ 2018-10-19
14:40
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
pp.13-18
IMQ 2018-05-25
14:15
Chiba Chibe Institute of Technology, Tsudanuma Campus Optimal Design and Coded Image Quality Assessment of the Multi-view and Super-resolution Images Based on Structure of Convolutional Neural Network
Norifumi Kawabata (Nagoya Univ.) IMQ2018-3
The image screen resolution by viewpoints is low, comparing to single-view images since there are many viewpoints for mu... [more] IMQ2018-3
pp.15-20
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2018-02-15
15:00
Hokkaido Hokkaido Univ. A Fundamental Study on Medical Image Diagnosis for Automatic Detection of Coded Defect Region Information
Norifumi Kawabata, Toshiya Nakaguchi (Chiba Univ.) ITS2017-74 IE2017-106
The coded defect and degradation in the medial imaging field is each differenced for characteristics, nature, and status... [more] ITS2017-74 IE2017-106
pp.77-82
IMQ 2017-12-15
13:55
Shizuoka Shizuoka University, Hamamatsu Campus A Study of Diagnostic Imaging System for Coded Defect Detection of Certain Viewpoints on Multi-view 3D CG Images
Norifumi Kawabata (Chiba Univ.) IMQ2017-21
At present, in the engineering fields, the medical application for multi-view 3D images and 8K UHDTV images is advanced ... [more] IMQ2017-21
pp.7-12
IMQ, HIP 2017-07-21
15:00
Hokkaido Satellite Campus, Sapporo City University Consideration for Application Procedure between H.265/HEVC and Visible Digital Watermarking on the Multi-view 3D CG Image Quality Evaluation
Norifumi Kawabata (Chiba Univ.) IMQ2017-8 HIP2017-50
In our previous studies, we studied on the multi-view 3D CG image quality evaluation including visible digital watermark... [more] IMQ2017-8 HIP2017-50
pp.15-20
IMQ 2016-12-16
14:20
Tokyo Tokyo University of Technology Application of Classification Algorithm for the Image Quality Assessment of Multi-view 3D CG Images and 5K Images by Using S-CIELAB Color Space
Norifumi Kawabata, Masaru Miyao (Nagoya Univ.) IMQ2016-18
Toward the 2020 Tokyo Olympic Games, it is expected that general broadcasting of 4K picture quality will be started. The... [more] IMQ2016-18
pp.13-18
IMQ 2016-05-27
13:40
Chiba Chiba Univ. Multi-view 3D CG Image Quality Assessment by Using S-CIELAB Color Space Including Visible Digital Watermarking by Regions in case the Background Region is Gray Scale
Norifumi Kawabata, Masaru Miyao (Nagoya Univ.) IMQ2016-1
Previously, we studied about multi-view 3D CG image quality evaluation including visible digital watermarking by regions... [more] IMQ2016-1
pp.1-6
 Results 1 - 20 of 32  /  [Next]  
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