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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 65  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IE, MVE, CQ, IMQ
(Joint) [detail]
2024-03-14
11:00
Okinawa Okinawa Sangyo Shien Center
(Primary: On-site, Secondary: Online)
[Invited Talk] From Pixels to Precision: Passing into the Future of Super-Resolution Mastery
Supatta Viriyavisuthisakul (PIM) IMQ2023-42 IE2023-97 MVE2023-71
Single Image Super-Resolution (SISR) involves reconstructing low-resolution images to enhance perceptual quality. Recent... [more] IMQ2023-42 IE2023-97 MVE2023-71
p.165
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] 2024-02-20
10:15
Hokkaido Hokkaido Univ. Image Attractiveness Analysis with Explanation using Vision-Language Model
Shun Yoshida, Kaede Shiohara, Toshihiko Yamasaki (UTokyo) ITS2023-61 IE2023-50
There has been research on making machines analyze the image attractiveness, and in recent years, further progress has b... [more] ITS2023-61 IE2023-50
pp.82-87
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] 2024-02-20
12:45
Hokkaido Hokkaido Univ. 3D CG Coded Image Noise Removal and Quality Assessment Based on Optimal Design of Total Variation Regularization
Norifumi Kawabata (Kanazawa Gakuin Univ.) ITS2023-67 IE2023-56
Sparse coding techniques, which reproduce and represent images with as few combinations as possible from a small amount ... [more] ITS2023-67 IE2023-56
pp.112-117
LOIS, IPSJ-DC 2023-08-04
14:45
Kyoto Kyoto Tachibana University, Keisei-Kan, 1-G106
(Primary: On-site, Secondary: Online)
Recognizing Human-Centered Contexts for In-Home Elderly Monitoring Using Vision-Based Edge AI
Sinan Chen, Masahide Nakamura, Kiyoshi Yasuda (Kobe Univ.) LOIS2023-6
As the global population ages, including Japan, there is a significant trend toward transitioning from facility-based ca... [more] LOIS2023-6
pp.18-22
BioX, SIP, IE, ITE-IST, ITE-ME [detail] 2023-05-18
15:15
Mie Sansui Hall, Mie University
(Primary: On-site, Secondary: Online)
SIP2023-5 BioX2023-5 IE2023-5 Compressing video and images with lossy compression degrades input data.Therefore, image quality evaluation is necessary... [more] SIP2023-5 BioX2023-5 IE2023-5
pp.16-21
IMQ, IE, MVE, CQ
(Joint) [detail]
2023-03-16
15:40
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
Iris Image Quality Assessment with Degradation Scores for Recognition
Ryuichi Akashi, Yuho Shoji, Takahiro Toizumi, Atsushi Ito (NEC) IMQ2022-57 IE2022-134 MVE2022-87
In this paper, we propose an iris image quality assessment method to quantify the influence of each type of image degrad... [more] IMQ2022-57 IE2022-134 MVE2022-87
pp.182-187
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) IMQ2022-12
360 degrees video camera is often used in our life, event, information communication service, and Virtual Reality (VR), ... [more] IMQ2022-12
pp.7-12
SIS, ITE-BCT 2022-10-14
09:40
Aomori Hachinohe Institute of Technology
(Primary: On-site, Secondary: Online)
Creation of subjective evaluation datasets for Print Quality Assessment
Ryosuke Tonegawa, Yosuke Sugiura, Nozomiko Yasui, Tetsuya Shimamura (Saitama Univ) SIS2022-15
There does not exist image quality assessment (IQA) dataset for image with print-specific defects so far. This dataset c... [more] SIS2022-15
pp.21-26
CCS, NLP 2022-06-09
13:25
Osaka
(Primary: On-site, Secondary: Online)
Learning Method for Image Denoising by Weighted Sum of Perceptual Quality Assessment Methods
Takamichi Miyata (Chiba Inst. Tech.) NLP2022-2 CCS2022-2
Existing deep learning-based denoising methods employ mean squared error (MSE) as a loss function. As a result, the outp... [more] NLP2022-2 CCS2022-2
pp.7-12
EMM 2022-03-07
15:40
Online (Primary: Online, Secondary: On-site)
(Primary: Online, Secondary: On-site)
[Poster Presentation] A Reversible Contrast Enhancement method in HSI Color Space
Ayana Wakimizu (Chiba Univ.), Shoko Imaizimi (Chiba univ.) EMM2021-101
In this paper, we propose a new reversible image processing method for color images.
While the conventional method enha... [more]
EMM2021-101
pp.52-57
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]
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
CQ 2021-08-04
15:30
Online Online A Factor Analysis of Uncomfortable Feeling caused by Image Retargeting in Retargeted Images using Subjective Assessment and Eye Measurement
Yoshikazu Kawayoke (NIT, Ishikawa College), Yasuhiro Inazumi (Yamanashi Eiwa College) CQ2021-34
As the resolutions and aspect ratios of displays are becoming increasingly diverse, there is growing interest in image r... [more] CQ2021-34
pp.64-69
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
CQ, CBE
(Joint)
2020-01-17
13:40
Tokyo NHK Science & Technology Research Laboratories A Method of Glossiness Preserving Image Coding
Tomoyuki Takanashi, Midori Tanaka, Takahiko Horiuchi (Chiba Univ.) CQ2019-130
Image coding plays an important role to reduce their cost for storage or transmission. Current image coding techniques u... [more] CQ2019-130
pp.131-136
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
CQ 2019-07-18
15:50
Niigata Niigata Univ. [Special Invited Talk] An overview of Ultra-reality communication technologies and expectations to its future QoE assessment -- Spatial value creation by ultra-reality --
Eisaburo Itakura (Sony IP&S) CQ2019-51
By recent advances of ICT, ultra-communication systems, which have reality qualitatively different from conventional aud... [more] CQ2019-51
pp.73-77
IE 2019-06-21
14:30
Okinawa   Image Quality Evaluation of 8K120Hz HEVC Encoder
Shinya Iwasaki (NHK), Xuying Lei (FJL), Kazuhiro Chida, Yasuko Sugito, Kazuhisa Iguchi, Kikufumi Kanda (NHK), Hidenobu Miyoshi, Yoshifumi Uehara (FJL) IE2019-20
We developed 8K 119.88-Hz (120-Hz) encoder to transmit videos with smoother motions. To evaluate the image quality impro... [more] IE2019-20
pp.19-24
SIP 2018-08-20
16:00
Tokyo Takushoku Univ. Bunkyo Campus. [Invited Talk] Image and Video Inpainting -- Recent Advances in Inpainting and its Subjective Quality Assessment --
Mariko Isogawa (NTT) SIP2018-61
(To be available after the conference date) [more] SIP2018-61
p.25
IMQ, HIP 2018-07-20
13:30
Hokkaido Sapporo City University, Satellite Campus [Invited Lecture] Inpainting based on low-dimensional image approximation and its applications
Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) IMQ2018-5 HIP2018-32
This paper introduces inpainting based on low-dimensional image approximation and its applications. Specifically, low-di... [more] IMQ2018-5 HIP2018-32
pp.1-4
 Results 1 - 20 of 65  /  [Next]  
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