Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
MVE |
2020-09-09 13:40 |
Online |
Online |
[Short Paper]
A study on a coloring method for document overviews
-- Visualizing the document structure using word-color associations -- Chihaya Matsuhira (Nagoya Univ.), Marc A. Kastner (NII/Nagoya Univ.), Ichiro Ide, Yasutomo Kawanishi, Takatsugu Hirayama (Nagoya Univ.), Keisuke Doman (Chukyo Univ.), Daisuke Deguchi, Hiroshi Murase (Nagoya Univ.) MVE2020-17 |
In this report, we study a method to automatically color each page of a book according to its contents. This allows read... [more] |
MVE2020-17 pp.35-37 |
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 |
ISEC, IT, WBS |
2020-03-11 11:45 |
Hyogo |
University of Hyogo (Cancelled but technical report was issued) |
A Note on the Relationship between Smooth Locally Decodable Codes and Private Information Retrieval Koki Kazama, Akira Kamatsuka (Waseda Univ.), Takahiro Yoshida (Yokohama Col. of Commerce), Toshiyasu Matsushima (Waseda Univ.) IT2019-120 ISEC2019-116 WBS2019-69 |
We focus on smooth locally decodable codes (SLDC) and Private Information Retrieval (PIR).
Recently, the relationship b... [more] |
IT2019-120 ISEC2019-116 WBS2019-69 pp.201-206 |
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] |
|
AI |
2020-02-14 10:10 |
Shimane |
Izumo Campus, Shimane University |
Creative Data Value Chain Description Model Teruaki Hayashi, Gensei Ishimura (UT), Tokuhisa Shiromizu (DJWG), Yukio Ohsawa (UT) AI2019-49 |
Action Planning is a scenario creation method for promoting interdisciplinary data collaborations by describing the rela... [more] |
AI2019-49 pp.39-43 |
NLP, NC (Joint) |
2020-01-24 09:30 |
Okinawa |
Miyakojima Marine Terminal |
Visualization of document-word relation by modeling their joint probability on latent spaces Takuro Ishida, Keisuke Yoneda, Hajime Hatano, Tetsuo Furukawa (Kyutech) NC2019-60 |
The aim of this work is to visualize the relation of documents and words by embedding them to the product space of laten... [more] |
NC2019-60 pp.7-12 |
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 |
QIT (2nd) |
2019-11-19 14:50 |
Tokyo |
Gakushuin University |
Capacity of Quantum Private Information Retrieval with Collusion of All But One of Servers Seunghoan Song, Masahito Hayashi (Nagoya Univ.) |
Quantum private information retrieval (QPIR) is the problem to retrieve one of f classical files by downloading quantum ... [more] |
|
DE |
2019-06-22 10:30 |
Tokyo |
|
A Evaluation of Search Behavior Achievement in Exploratory Search Jumpei Yamada, Daisuke Kitayama (Kogakuin Univ.) DE2019-6 |
In recent years, there have been many opportunities to search for information using a search engine with the spread of t... [more] |
DE2019-6 pp.23-28 |
DE |
2019-06-22 10:50 |
Tokyo |
|
Efficient Similar Document Search over Encrypted Data On the Cloud Daisuke Aritomo (Univ. of Tsukuba), Chiemi Watanabe (NTUT) DE2019-7 |
More and more data owners are building information retrieval systems on cloud computing platforms, which provides scalab... [more] |
DE2019-7 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 |
QIT (2nd) |
2019-05-21 09:20 |
Fukuoka |
Kyushu University, Chikushi Campus |
Capacity of Quantum Private Information Retrieval with Multiple Servers Seunghoan Song, Masahito Hayashi (Nagoya Univ.) |
We study the capacity of quantum private information retrieval (QPIR) with multiple servers. In the QPIR problem with mu... [more] |
|
LQE, OCS, OPE |
2019-05-13 16:50 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
[Special Invited Talk]
Phase-retrieving Coherent Detection by a High-speed Photodetector Array Yuki Yoshida, Toshimasa Umezawa, Atsushi Kanno, Naokatsu Yamamoto (NICT) OCS2019-8 OPE2019-8 LQE2019-8 |
A novel coherent detection technique based on phase retrieval is introduced. A 2-D arrayed photodetector with a novel di... [more] |
OCS2019-8 OPE2019-8 LQE2019-8 pp.29-34 |
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 |
AI |
2018-12-07 13:25 |
Fukuoka |
|
Related Term Suggestion for Bibliographic Retrieval in Informatics Michiko Yasukawa (Gunma Univ.) AI2018-26 |
To find important research papers, users need assistance with effective search clues. We propose a novel framework of re... [more] |
AI2018-26 pp.5-10 |
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 |
SIS, IPSJ-AVM, ITE-3DMT [detail] |
2018-06-08 11:30 |
Hokkaido |
Jozankei View Hotel |
Web video search reranking via graph-based soft clustering using heterogeneous metadata integration Soh Yoshida, Mitsuji Muneyasu (Kansai Univ.) SIS2018-8 |
This paper addresses the problem of analyzing a heterogeneous graph for extracting topics including videos in a dataset ... [more] |
SIS2018-8 pp.69-74 |
SIS, IPSJ-AVM, ITE-3DMT [detail] |
2018-06-08 11:50 |
Hokkaido |
Jozankei View Hotel |
Web Video Search Re-ranking Using Tag Vector Takamasa Fujii, Soh Yoshida, Mitsuji Muneyasu (Kansai Univ.) SIS2018-9 |
In this paper, we propose Web video search re-ranking using tag vector. In the proposed method, we first construct a gra... [more] |
SIS2018-9 pp.75-80 |