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All Technical Committee Conferences (Searched in: Recent 10 Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ITS, IE, ITE-MMS, ITE-ME, ITE-AIT, ITE-SIP [detail] | 2025-02-19 13:20 |
Hokkaido | Effect of image feature localization by patching on subjective evaluation of coding distortion by binary decision Soichiro Honda, Kohei Hayashi, Hirokazu Kamei (NITech), Yoshihiro Maeda (SIT), Norishige Fukushima (NITech)  ITS2024-86 IE2024-78 |
Since lossy compression, which is used in many cases to compress video and images, degrades input data, an objective eva... [more] | ITS2024-86 IE2024-78 pp.200-205 |
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| IMQ | 2024-10-18 13:30 |
Kanagawa | Shonan Institute of Technology | XR Subjective Quality Evaluation Experiment of 3D CG Projected Video on a Holographic Display Prototype Norifumi Kawabata (Computational Imaging Lab) IMQ2024-7 |
With the daily spread of telecommuting and teleworking after COVID-19, metaverse and cross reality technologies have bee... [more] | IMQ2024-7 pp.1-6 |
| VLD, CAS, SIP, MSS | 2024-07-18 10:20 |
Aomori | (Primary: On-site, Secondary: Online) |
Image Quality Assessment for Detail Enhancement by Synthetic Image Normalization Soichiro Honda, HiroKazu Kamei, Kohei Hayashi, Norishige Fukushima (NITech) CAS2024-3 VLD2024-3 SIP2024-20 MSS2024-3 |
Image detail enhancement is essential for producing images that are more visible. Many studies have been conducted, and... [more] |
CAS2024-3 VLD2024-3 SIP2024-20 MSS2024-3 pp.12-17 |
| IMQ | 2024-05-24 14:25 |
Aichi | Higashiyama Campus, Nagoya Univ. | Image Quality Assessment and Analysis on Glossy and Painted of 3D CG Objects Based on Material Data Set of the Shitsukan Perception Standard Problem Norifumi Kawabata (Computational Imaging Lab) IMQ2024-2 |
Gloss is one of the component of ``Shitsukan''. Although humans perceive the luster of objects visually and sensuously o... [more] | IMQ2024-2 pp.7-12 |
| IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-14 11:00 |
Okinawa | Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
[Invited Talk]
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 |
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