| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT, SIP [detail] |
2026-02-19
13:45 |
Hokkaido |
|
A Note on Re-ranking using Edited Image Query for Composed Image Retrieval
Huaying Zhang, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ..) |
Composed image retrieval (CIR) enables users to use both a visual and a textual query to retrieve an image, and thus can... [more] |
MMS2026-10 ME2026-10 AIT2026-10 SIP2026-10
pp.41-46 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT, SIP [detail] |
2026-02-19
14:00 |
Hokkaido |
|
Investigating the Potential of Vision-Language Models in Cross-View Geo-Localization
Momoko Maezawa, Naotsuna Fujimori, Rei Endo, Takahiro Mochizuki (NHK) |
Cross-view geo-localization is a technique that estimates the location at which a ground image was captured by retrievin... [more] |
MMS2026-11 ME2026-11 AIT2026-11 SIP2026-11
pp.47-50 |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-18
13:05 |
Hokkaido |
Hokkaido Univ. |
Study on matching method between satellite and ground images using CLIP model
Momoko Maezawa, Rei Endo, Naotsuna Fujimori, Takahiro Mochizuki (NHK) |
The location where a query image was taken can be estimated by searching for satellite images that correspond to the que... [more] |
MMS2025-8 ME2025-8 AIT2025-8 SIP2025-8
pp.40-45 |
| MMS, ME, AIT, IEICE-IE, IEICE-ITS [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] |
MMS2023-3 ME2023-23 AIT2023-3
pp.11-15 |
| HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-28
16:50 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
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] |
MMS2020-49 HI2020-49 ME2020-77 AIT2020-49
pp.377-381 |
| IEICE-ITS, IEICE-IE, MMS, HI, ME, AIT [detail] |
2018-02-15
14:00 |
Hokkaido |
Hokkaido Univ. |
A Note on Image Retrieval based on LRGA Algorithm for Insect Identification
-- Varification of Retrieval Accuracy Improvement based on Data Augmentation --
Susumu Genma, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a similar image retrieval method using a ranking algorithm for insect identification.
In the propos... [more] |
MMS2018-15 HI2018-15 ME2018-15 AIT2018-15
pp.167-171 |
| ME |
2016-02-20
14:25 |
Kanagawa |
Kanto Gakuin Univ. |
A robust image retrieval method using the trace transform for JPEG 2000 Images
Masafumi Shimoyama, Sayaka Shiota, Hitoshi Kiya (Tokyo Metro. Univ.) |
In this paper, we propose an image retrieval method using signs of discrete wavelet transform (DWT) coefficients for JPE... [more] |
ME2016-23
pp.85-88 |
| ME |
2016-02-20
14:25 |
Kanagawa |
Kanto Gakuin Univ. |
Content Based Image Retrieval using color information
Takuya Nishimoto, Shota Nakamura, Yoshiki Mizukami (Yamaguchi Univ.) |
Local features as represented by Scale-Invariant Feature Transform are generally used for Content Based Image Retrieval.... [more] |
ME2016-28
pp.105-108 |
| HI, IEICE-MVE, VRSJ, HI-SIG-VR |
2015-07-03
10:00 |
Tokyo |
Sanjo Conference Hall |
Affective Image Retrieval System based on Yes-No Questions
Saemi Choi, Toshihiko Yamasaki, Kiyoharu Aizawa (UT) |
We propose an affective image retrieval system based on yes-no questions. Traditional image retrieval system requests us... [more] |
|
| AIT, IIEEJ, AS |
2015-03-14
15:30 |
Tokyo |
|
A Method of retrieving for Volume Data
Shinji Nakatsuka, Koji Nishio, Ken-ichi Kobori (OIT) |
Volume data, that can express the inside of the object, is used for an image diagnosis in the medical field and non-dest... [more] |
AIT2015-44
pp.35-38 |
| HI, IEICE-IE, AIT, IEICE-ITS, ME, MMS [detail] |
2015-02-23
15:00 |
Hokkaido |
Hokudai |
A Note on Image Retrieval Based on Evaluation of Retrieval Results
-- An Application to Similarity Evaluation of Surface Structure of Organisms Taken by Scanning Electron Microscope --
Akihiro Takahashi, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents image retrieval based on evaluation of retrieval results by scanning electron microphotographs (SEM ... [more] |
MMS2015-13 CE2015-13 HI2015-11 ME2015-11 AIT2015-11
pp.83-88 |
| IEICE-ITS, IEICE-IE, AIT, HI, ME [detail] |
2014-02-17
09:35 |
Hokkaido |
Hokkaido Univ. |
Faster Video Scene Retrieval by Multiple Query Images using Image Piece Word Histogram
Takahiro Mochizuki, Masanori Sano, Hideki Mitsumine (NHK) |
We are researching new technologies to retrieval video scenes targeting large volume of video. Major approaches for visu... [more] |
HI2014-2 ME2014-2 AIT2014-2
pp.205-209 |
| AIT, IIEEJ, AS |
2013-03-15
17:05 |
Kanagawa |
Keio Univ. |
Semi-Automated Object Extraction System Using Content-Based Image Retrieval Interface
Ken-ichiro Kobayashi, Yukio Fukui, Yoshihiro Kanamori, Jun Mitani (Univ. of Tsukuba) |
Object images created from photographs are useful as the source material of image compositing. However it is difficult t... [more] |
AIT2013-98
pp.203-206 |
| IEICE-ITS, IEICE-IE, AIT, HI, ME [detail] |
2013-02-18
16:00 |
Hokkaido |
Hokkaido Univ. |
Automatic Detection of Major Objects in an Image Based on Visual Attention Model
Jiro Ishitobi, Koh YuenShyuan, Junji Maeda (Muroran IT) |
The purpose of this research is the automatic detection of major objects in a still image. To develop the
techniques of... [more] |
|
| IEICE-ITS, IEICE-IE, AIT, HI, ME [detail] |
2013-02-19
15:20 |
Hokkaido |
Hokkaido Univ. |
A Note on Evaluating Image Search Result Visualization Methods Based on Feature Integration Theory
-- Verifying Effectiveness from Comparison of Different Visualization Methods --
Katsuki Kobayashi, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents the verification of the effectiveness about the feature integration theory-based criterion for the i... [more] |
HI2013-26 ME2013-54 AIT2013-26
pp.165-169 |
| ME |
2012-02-18
10:15 |
Kanagawa |
Kando Gakuin Univ. |
Generation of Arbitrary Viewpoint from Image Compilation by Estimation
Takuya Ohe (Shizuoka Univ.), Atsushi Yamashita (Univ. Tokyo), Toru Kaneko, Susumu Ishihara (Shizuoka Univ.), Hajime Asama (Univ. Tokyo) |
Currently, drive recorders and in-vehicle cameras have become popular with general automobiles. Hence, a system using im... [more] |
ME2012-2
pp.5-8 |
| ME, CE, IEICE-IE [detail] |
2010-07-26
14:50 |
Kagoshima |
|
A Low-Dimensional Global Feature Extraction Method Using Composition and Color Information for Similar Image Retrieval
Li Tian, Akira Suzuki, Masashi Morimoto, Hideki Koike (NTT) |
In this work, we present a new global feature extraction method by using the composition and color information of images... [more] |
CE2010-31 ME2010-108
pp.13-18 |
| ME, AIT |
2010-05-24
14:45 |
Kyoto |
National Institute of Information and Communications Technology |
Development of Image Retrieval System Using Multiple Key Images
Kazuki Yasukawa, Toshikazu Kato (Chuo University) |
Many image search systems, designed to search on only one sample image, share the following 3 problems: (A) Appropriate ... [more] |
ME2010-89 AIT2010-81
pp.15-18 |
| ME |
2010-02-27
15:30 |
Kanagawa |
Kanto Gakuin Univ. |
Description of Facial Features by Words and Its Application to Retrieval of Similar Faces
Shin-ya Miyamoto, Jun-ichi Imai, Masahide Kaneko (UEC) |
Using the principal component analysis of shape and arrangement information of facial parts obtained from input images, ... [more] |
ME2010-77
pp.113-116 |
| ME, CE |
2009-08-03
14:30 |
Tokyo |
Tokyo Metropolitan Univ. Minami-Osawa Campus |
A Note on SVDD-Based Automatic Target Object Extraction for Image Retrieval
Hiroshi Okada, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper proposes an automatic extraction method of target objects from images based on the support vector data descri... [more] |
CE2009-40 ME2009-115
pp.13-16 |