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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IA, SITE, IPSJ-IOT [detail] | 2024-03-13 14:05 |
Okinawa | Miyakojima City Future Creation Center (Primary: On-site, Secondary: Online) |
Perceptual Hashing Based on CNN Node Responses Yusei Sugawara, Kaito Hosono, Tetsuya Morizumi, Hirotsugu Kinoshita (Kanagawa Univ.)  SITE2023-101 IA2023-107 |
As technology advances, unauthorized duplication of images has become a serious issue related to copyright infringement.... [more] | SITE2023-101 IA2023-107 pp.203-210 |
| SIP | 2023-08-07 13:10 |
Osaka | Osaka Univ. (Suita) Convention Center (Primary: On-site, Secondary: Online) |
A Perceptual Collation Method for Color Halftone Images Using Vision Transformer Daiki Fujikawa, Shoko Imaizumi, Takahiko Horiuchi (Chiba Univ.) SIP2023-47 |
We propose an automatic collation method based on human perception in this paper. The collation target of the propose... [more] |
SIP2023-47 pp.7-12 |
| IA, SITE, IPSJ-IOT [detail] | 2023-03-16 15:35 |
Gunma | Maebashi Institute of Technology (Primary: On-site, Secondary: Online) |
Model compression by pruning of CNN based on perceptual hashes Shota Mishina, Tetsuya Morizumi, Hirotsugu Kinoshita (Kanagawa Univ.) SITE2022-59 IA2022-82 |
Message digests that identify images are indispensable for secure and convenient copyright management of digital content... [more] | SITE2022-59 IA2022-82 pp.28-34 |
| IMQ, HIP | 2022-07-08 15:30 |
Hokkaido | Satellite Campus, Sapporo City University | A Conversion Method from HDR Video to SDR Video Considering with Perceptual Performance Jinyu Tang, Takashi Yamazoe, Kenji Sugiyama (Seikei Univ.) IMQ2022-9 HIP2022-40 |
HDR (High Dynamic Range) video is possible to display the maximum 1200% luminance images in a HDR display. However, lumi... [more] | IMQ2022-9 HIP2022-40 pp.27-30 |
| 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 |
| PRMU, IPSJ-CVIM | 2022-05-13 11:00 |
Aichi | Toyota Technological Institute | Relationship between Perceptual and Image Qualities of Training and Reconstruction Images in Video Super-Resolution Hiroshi Mori, Norimichi Ukita (TTI) PRMU2022-5 |
Super resolution is a technique for converting low-resolution images into high-resolution images. Recent research has sh... [more] | PRMU2022-5 pp.24-29 |
| ITE-ME, EMM, IE, LOIS, IEE-CMN, IPSJ-AVM [detail] | 2021-08-25 13:00 |
Online | Online | A Reversible Data Hiding Scheme for the Grayscale-Based EtC System Ruifeng Li, Masaaki Fujiyoshi (Tokyo Metro. Univ.) LOIS2021-16 IE2021-11 EMM2021-46 |
This paper proposes an encryption-then-compression (EtC) system-friendly data hiding method for images, where an EtC sys... [more] | LOIS2021-16 IE2021-11 EMM2021-46 pp.1-6 |
| CQ, CS (Joint) |
2020-06-25 14:50 |
Online | Online | [Special Invited Talk]
Capture and Transparency in Perceptual Image Quality Assessment Damon M. Chandler (Shizuoka University) CS2020-6 CQ2020-10 |
Perceptual image and video quality assessment (QA) algorithms aim to estimate the quality of an image/video in a manner ... [more] | CS2020-6 CQ2020-10 p.23(CS), p.49(CQ) |
| SIS | 2020-03-05 12:50 |
Saitama | Saitama Hall (Cancelled but technical report was issued) |
A Reversible Data Hiding Scheme for the EtC System Ruifeng Li, Masaaki Fujiyoshi, Hitoshi Kiya, Yasufumi Takama (Tokyo Metro. Univ.) SIS2019-38 |
This paper proposes an encryption-then-compression (EtC) system-friendly data hiding method for images, where an EtC sys... [more] | SIS2019-38 pp.7-12 |
| 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 |
| SITE | 2019-12-06 13:00 |
Kanagawa | Analysis of an intermediate layer for perceptual hashing using a convolutional neural network Ken Nakatani, Meng Zhaoxiong, Tetsuya Morizumi, Hirotsugu Kinoshita (Kanagawa Univ.) SITE2019-80 |
This research aims to improve the digital watermark technology that embeds evidence information by using content redunda... [more] | SITE2019-80 pp.1-6 |
|
| SITE | 2019-12-06 14:15 |
Kanagawa | A Scheme of Digital Copyright Management System Based on Blockchain and Digital Watermarking
-- Research on Improvement Method of Perceptual Hashing based on Machine Learning -- Zhaoxiong Meng, Tetsuya Morizumi (KU), Sumiko Miyata (SIT), Hirotsugu Kinoshita (KU) SITE2019-83 |
In this study, in order to search for a new digital content copyright management method that achieves both safety and co... [more] | SITE2019-83 pp.21-27 |
|
| SANE | 2019-11-01 10:40 |
Overseas | KOREA (Jeju) | Aircraft Image Classification using Perceptual Hashing Riku Noguchi, Makoto Tanaka (Tokai Univ.) SANE2019-64 |
In this paper, we propose new method of aircraft classification using perceptual hashing. Many studies have been conduct... [more] | SANE2019-64 pp.83-85 |
| CCS | 2017-06-29 13:30 |
Ibaraki | Ibaraki Univ. | A Complex-Valued Reinforcement Learning Method Using Complex-Valued Neural Networks Masaki Mochida, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) CCS2017-1 |
This paper proposes the method to approximate the action-value function in complex-valued reinforcement learning by usin... [more] | CCS2017-1 pp.1-5 |
| EID, ITE-IDY, ITE-HI, ITE-3DMT, IEE-OQD, SID-JC [detail] | 2016-10-28 13:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg | Object Surface Retexturing System using Perceptual Quality Indexes Yoshimitsu Yamada, Wataru Suzuki, Keita Hirai, Takahiko Horiuchi (Chiba Univ.) EID2016-5 |
This Report presents an intuitive retexturing system for editing object surfaces in images interactively. For the intuit... [more] | EID2016-5 pp.1-4 |
| AI | 2016-06-27 14:30 |
Tokyo | Perceptual Alternation Induced in the Act of Rotating and Observing a Wireframe Object Sakumi Iki, Rie Osawa, Shota Imafuku, Susumu Shirayama (Univ. of Tokyo) AI2016-7 |
Visual information accounts for a large percentage of information humans receive from the environment. Therefore, there ... [more] | AI2016-7 pp.37-42 |
|
| EMM | 2016-03-02 15:40 |
Kagoshima | Yakushima Environ. and Cultural Vill. Center | [Poster Presentation]
A Perceptual Encryption Scheme for Lossless Image Coding Based on Visual Difficulty Yuya Nakao, Shoko Imaizumi, Naokazu Aoki (Chiba Univ.) EMM2015-85 |
We propose an extended perceptual encryption scheme for lossless image coding in this paper. The proposed method improve... [more] | EMM2015-85 pp.51-56 |
| SIS, IPSJ-AVM | 2014-09-11 10:45 |
Yamagata | SHONAI INDUSTRIAL PROMOTION CENTER | A method of perceptual encryption and its efficient key management for JPEG/Motion JPEG images Kenta Kurihara, Yuko Saito (Tokyo Metropolitan Univ.), Shoko Imaizumi (Chiba Univ.), Sayaka Shiota, Hitoshi Kiya (Tokyo Metropolitan Univ.) SIS2014-53 |
In this paper, we propose a method of perceptual encryption and its efficient key management for images presupposing JPE... [more] | SIS2014-53 pp.13-18 |
| SP | 2013-11-21 14:00 |
Nara | Nara Institute of Science and Technology | Voice Quality Control Based on Perceptual Age in Statistical Singing Voice Conversion Kazuhiro Kobayashi, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura (NAIST) SP2013-71 |
The perceptual age of a singing voice is the age of the singer as perceived by the listener, and is one of the notable c... [more] | SP2013-71 pp.1-6 |
| ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] | 2013-02-18 15:20 |
Hokkaido | Hokkaido Univ. | Consideration of Perceptual Segmentation Algorithm for Natural Color Images Naoya Ishikura, Takehito Tani, Junji Maeda (Muroran Inst. of Tech.) ITS2012-31 IE2012-111 |
Image segmentation is a useful preprocessing in image recognition. The purpose of this paper is to develop the perceptu... [more] |
ITS2012-31 IE2012-111 pp.71-76 |
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