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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 157  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IE, MVE, CQ, IMQ
(Joint) [detail]
2024-03-13
13:20
Okinawa Okinawa Sangyo Shien Center
(Primary: On-site, Secondary: Online)
[Invited Talk] The Past, Current and Future of Fashion Image Retrieval: Toward a User-Centered Orientation
Ling Xiao (UTokyo) IMQ2023-28 IE2023-83 MVE2023-57
Fashion image retrieval (FIR) plays a pivotal role in enhancing the online shopping experience on retail and e-commerce ... [more] IMQ2023-28 IE2023-83 MVE2023-57
pp.87-89
IMQ, IE, MVE, CQ
(Joint) [detail]
2023-03-16
15:15
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
A Method for Fast Compression of Sign Bits of DCT Coefficients in Image Coding
Fuma Ito, Chihiro Tsutake, Keita Takahashi, Toshiaki Fujii (Nagoya Univ.) IMQ2022-56 IE2022-133 MVE2022-86
Compressing the signs of DCT coefficients is an intractable problem in image coding because of their equiprobable charac... [more] IMQ2022-56 IE2022-133 MVE2022-86
pp.178-181
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
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-03
16:40
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
PRMU2022-113 IBISML2022-120 (To be available after the conference date) [more] PRMU2022-113 IBISML2022-120
pp.287-292
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]
IE 2023-02-02
15:30
Tokyo NII
(Primary: On-site, Secondary: Online)
[Invited Talk] How Can We Compress Signs of DCT Coefficients in Image Coding? -- A Method Inspired by Phase Retrieval --
Chihiro Tsutake (Nagoya Univ.) IE2022-55
Compressing the signs of DCT coefficients is an intractable problem in image coding because of their equiprobable charac... [more] IE2022-55
p.19
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
IMQ 2022-05-27
14:00
Tokyo   Animal Video Retrieval System Using Image Recognition
Chinatsu Watanabe (Kogakuin Univ.), Mayu Kaneko (Mizuho Research & Technologies), Atsumu Harada, Naiwala P. Chandrasiri (Kogakuin Univ.) IMQ2022-2
In general, the search function in a video sharing service site evaluates the relevance of a search query to the title, ... [more] IMQ2022-2
pp.7-11
PRMU, IPSJ-CVIM 2022-03-11
17:10
Online Online PRMU2021-90 No English abstract [more] PRMU2021-90
pp.186-191
MI 2022-01-27
13:54
Online Online [Short Paper] Case-based Similar Image Retrieval for Pathological Images of Malignant Lymphoma Using Deep Metric Learning
Noriaki Hashimoto (RIKEN), Yusuke Takagi, Hiroki Masuda (NITech), Hiroaki Miyoshi, Kei Kohno, Miharu Nagaishi, Kensaku Sato, Koichi Ohshima (Kurume Univ.), Hidekata Hontani (NITech), Ichiro Takeuchi (NITech/RIKEN) MI2021-78
We propose a novel method of case-based similar image retrieval for histopathological images of malignant lymphoma. We e... [more] MI2021-78
pp.144-145
PRMU 2021-12-16
15:10
Online Online Neural Network-based Local Feature Descriptors for Matching Excavated Mokkan Fragments of Various Sizes
Trung Tan Ngo, Hung Tuan Nguyen, Masaki Nakagawa (TUAT) PRMU2021-33
This paper presents a method to predict whether two excavated Mokkan fragments of various sizes are from the same tablet... [more] PRMU2021-33
pp.51-56
PRMU, IPSJ-CVIM 2021-03-05
14:40
Online Online Retrieving Interesting Planetary Images based on Captions
Hiya Roy, Toshihiko Yamasaki, Tatsuaki Hashimoto (UTokyo) PRMU2020-95
Planetary images are collected by sophisticated imaging devices onboard the orbiting or roving spacecraft. As the number... [more] PRMU2020-95
pp.151-156
PRMU 2020-12-18
17:15
Online Online Rethinking the local similarity in content-based image retrieval
Longjiao Zhao (Nagoya Univ.), Yu Wang (Ritsumeikan Univ), Yoshiharu Ishikawa (Nagoya Univ.), Jien Kato (Ritsumeikan Univ) PRMU2020-68
Recently, Convolutional Neural Networks(CNN) have shown good performance in the image retrieval task. Especially, local ... [more] PRMU2020-68
pp.172-176
PRMU 2020-10-09
13:15
Online Online Video retrieval based on the similarity of human poses
Noboru Yoshida, Yadong Pan, Ryo Kawai, Jianquan Liu, Shoji Nishimura (NEC) PRMU2020-24
In this paper, we propose new feature which can measure the distance between different poses. The feature is based on th... [more] PRMU2020-24
pp.32-37
PRMU, IPSJ-CVIM 2020-03-16
16:30
Kyoto
(Cancelled but technical report was issued)
Faster Approximate Nearest Neighbor Search using Label Information of Images
Onur Guler, Yusuke Matsui, Yoichi Sato (UTokyo) PRMU2019-85
Image retrieval systems commonly assume that the query images have the same distribution with the searched database. How... [more] PRMU2019-85
pp.101-106
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]
SWIM 2020-02-21
16:25
Tokyo Kikai-Shinko-Kaikan Bldg. Proposal of sensor data management method for fog computing
Tsukasa Kudo (SIST) SWIM2019-31
With the progress of IoT, a large number of sensors are being connected to the Internet. To transfer sensor data efficie... [more] SWIM2019-31
pp.39-45
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
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] 2019-06-17
13:00
Okinawa Okinawa Institute of Science and Technology Reliability Assessment by Bayesian Deep Learning for Image-Caption Retrieval Task
Kenta Hama, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) IBISML2019-1
Following the development of black-box machine learning algorithms, the practical demand of the re- liability assessment... [more] IBISML2019-1
pp.1-8
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
 Results 1 - 20 of 157  /  [Next]  
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