Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU, IBISML, IPSJ-CVIM [detail] |
2023-03-02 17:30 |
Hokkaido |
Future University Hakodate (Primary: On-site, Secondary: Online) |
A Study on Data Augmentation by Pixel Value Transformation for Product Image Retrieval DNN Yu Okamoto, Masaki Kishibe, Toshikazu Wada (Wakayama Univ.) PRMU2022-94 IBISML2022-101 |
We are developing a product image retrieval DNN for supporting shelving allocation tasks. To train the DNN, product imag... [more] |
PRMU2022-94 IBISML2022-101 pp.181-186 |
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2023-02-21 11:00 |
Hokkaido |
Hokkaido Univ. |
A note on text prompt tuning in cross-modal image retrieval for a specific database Huaying Zhang, Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
With the development of storage devices and the Internet, the number of users creating personal image databases has incr... [more] |
|
PRMU |
2022-09-15 10:15 |
Kanagawa |
(Primary: On-site, Secondary: Online) |
Image retrieval for animated characters from original works, derivative works and merchandise Shiqi Mao (Ritsumeiken Univ), Longjiao Zhao (Nagoya Univ.), Yu Wang (Hitotsubashi Univ.), Jien Kato (Ritsumeiken Univ) PRMU2022-19 |
Recently, there are many successful models for retrieving animated characters. However, conventional studies have mainly... [more] |
PRMU2022-19 pp.55-60 |
CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-09 15:30 |
Online |
Online (Zoom) |
Proposal and Evaluation of a Lost Property Registration and Retrieval System in Which Only Images Are Registered Kazuki Hirose, Takenori Hara, Hideo Saito (Keio Univ.) IMQ2021-23 IE2021-85 MVE2021-52 |
In the conventional lost property registration and retrieval system, the characteristics of lost properties are register... [more] |
IMQ2021-23 IE2021-85 MVE2021-52 pp.70-75 |
ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2020-02-28 16:50 |
Hokkaido |
Hokkaido Univ. (Cancelled but technical report was issued) |
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] |
|
MVE, IPSJ-CVIM |
2020-01-23 13:25 |
Nara |
|
[Short Paper]
A Study on Trademark Search by Learning Texts and Images Information Daichi Koike, Takashi Suenaga, Maki Nakabayashi (NTT DATA) MVE2019-30 |
(To be available after the conference date) [more] |
MVE2019-30 pp.31-32 |
SIS |
2019-12-12 15:15 |
Okayama |
Okayama University of Science |
A Reversible Data Hiding Method for Both Plain and Encrypted Images Yusuke Izawa, Ryoichi Hirasawa, Shoko Imaizumi (Chiba Univ.), Hitoshi Kiya (TMU) SIS2019-28 |
In this paper, we propose a reversible data hiding method, where the data embedded into the original image can be extrac... [more] |
SIS2019-28 pp.29-34 |
EMM, IT |
2019-05-24 10:35 |
Hokkaido |
Asahikawa International Conference Hall |
Searchable Image Encryption using Secret Sharing Scheme Mohd Kamal Ahmad Akmal Aminuddin, Iwamura Keiichi (Tokyo University of Science) IT2019-9 EMM2019-9 |
Using the method of secrecy computation based on secret sharing scheme, Aminuddin et al. had introduced an image searchi... [more] |
IT2019-9 EMM2019-9 pp.43-48 |
IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-14 09:55 |
Kagoshima |
Kagoshima University |
A Search Method of Cropped Image Using Corner Feature Points for Watermarked Image Kouki Ikeda, Kousuke Imamura (Kanazawa Univ.), Hideo Kuroda, Makoto Fujimura (Nagasaki Univ.) IMQ2018-27 IE2018-111 MVE2018-58 |
The digital watermarking technique is used for the prevention of distribution of illegal copies. However, the simply app... [more] |
IMQ2018-27 IE2018-111 MVE2018-58 pp.25-29 |
IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-14 11:15 |
Kagoshima |
Kagoshima University |
Kansei Retrieval of Real Estate Properties Naoko Kobayashi (UEC), Shinichi Nunoya, Yusuke Suzuki, Masachika Suzuki, Yoshio Asada (AVANT Corporation), Hiroki Takahashi (UEC) IMQ2018-33 IE2018-117 MVE2018-64 |
In order to find a desired room on real estate property retrieval sites which are indispensable service for searching a ... [more] |
IMQ2018-33 IE2018-117 MVE2018-64 pp.61-66 |
PRMU, MVE, IPSJ-CVIM [detail] |
2019-01-17 09:45 |
Kyoto |
|
PRMU2018-97 MVE2018-39 |
In our previous research on a pedestrian navigation system based on the pre-recorded video, reference images extracted f... [more] |
PRMU2018-97 MVE2018-39 pp.5-10 |
HCS |
2018-11-02 14:45 |
Ibaraki |
|
Method for Detecting Near-duplicate Recipes Based on Nearest Neighbor Search for Features of Cooking Instructions and Food Images Masaki Oguni (Tsukuba Univ.), Lasguido Nio, Yu Hirate (RIT), Yohei Seki (Tsukuba Univ.) HCS2018-44 |
In user-generated recipe websites, recipes that imitated recipe elements of other recipes are posted. In this study, we ... [more] |
HCS2018-44 pp.19-24 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2018-09-20 09:50 |
Fukuoka |
|
Image-Caption Retrieval by Embedding to Gaussian Distribution Kenta Hama, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) PRMU2018-38 IBISML2018-15 |
To get distributed representations of words, one has typically embedded words to points.
Recent studies successfully... [more] |
PRMU2018-38 IBISML2018-15 pp.17-20 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2018-09-21 14:00 |
Fukuoka |
|
Codebook creation using agglomerative clustering for large scale image retrieval Kei Maeda, Toshikazu Wada (Wakayama Univ.) PRMU2018-66 IBISML2018-43 |
Similar image retrieval can be applied to wide variety of applications including image forensic and landmark detection/r... [more] |
PRMU2018-66 IBISML2018-43 pp.213-218 |
PRMU, BioX |
2018-03-18 15:20 |
Tokyo |
|
Person Image Retrieval Considering People Co-occurrence Relations in Group Photos Yukiya Fujita, Naoko Nitta, Kazuaki Nakamura, Noboru Babaguchi (Osaka Univ.) BioX2017-47 PRMU2017-183 |
(To be available after the conference date) [more] |
BioX2017-47 PRMU2017-183 pp.67-71 |
CQ, MVE, IE, IMQ (Joint) [detail] |
2018-03-09 13:30 |
Okinawa |
Okinawa Industry Support Center |
Efficient and Interactive Image Retrieval Based on Semantic Segmentation Ryosuke Furuta, Naoto Inoue, Toshihiko Yamasaki (Univ. of Tokyo) IMQ2017-59 IE2017-151 MVE2017-101 |
This paper proposes an efficient image retrieval system. When users wish to retrieve images with semantic and spatial co... [more] |
IMQ2017-59 IE2017-151 MVE2017-101 pp.189-194 |
PRMU, MVE, IPSJ-CVIM [detail] |
2018-01-18 13:30 |
Osaka |
|
[Fellow Memorial Lecture]
Recognition of Large-Scale, Complex Patterns Enabled by Encounters with Colleagues Koichi Kise (Osaka Prefecture Univ.) PRMU2017-126 MVE2017-47 |
I have met a variety of patterns and challenged to recognize them
simply because I have encountered many colleagues who... [more] |
PRMU2017-126 MVE2017-47 pp.117-122 |
IE, ITE-ME, ITE-AIT [detail] |
2017-10-05 15:40 |
Nagasaki |
|
Effectiveness of Color Quantization for Image Classification Kentaro Obara, Yukinori Suzuki (Muroran-IT) IE2017-53 |
Image classification is essential for image retrieval system. It is necessary to convert a color image to a gray scale i... [more] |
IE2017-53 pp.37-42 |
SITE, EMM, ISEC, ICSS, IPSJ-CSEC, IPSJ-SPT [detail] |
2017-07-15 13:50 |
Tokyo |
|
Study of template matching application of steganography ANGO Hirokazu Ishizuka (Mitsubishi Electric), Isao Echizen (NII), Keiichi Iwamura (TUS), Koichi Sakurai (Kyushu Univ.) ISEC2017-33 SITE2017-25 ICSS2017-32 EMM2017-36 |
We propose a method ANGO(=Asymmetric Nondestractive steGanOgraphy) to extract different third information by two(o... [more] |
ISEC2017-33 SITE2017-25 ICSS2017-32 EMM2017-36 pp.247-252 |
PRMU, SP |
2017-06-23 11:00 |
Miyagi |
|
Similar CT image retrieval method based on lesion natures and their three-dimensional distribution Hiroaki Takebe, Yasutaka Moriwaki, Takayuki Baba (FUJITSU LAB.), Hiroaki Terada, Toru Higaki, Kazuo Awai (Hiroshima Univ.), Akio Ozawa, Kohei Murao, Yasuharu Ogino (FUJITSU), Mengjiao Wang, Rujie Liu (FRDC) PRMU2017-35 SP2017-11 |
When radiologists encounter a difficult case to diagnose, retrieval of morphologically similar cases in which final diag... [more] |
PRMU2017-35 SP2017-11 pp.57-62 |