Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU, IBISML, IPSJ-CVIM [detail] |
2011-09-06 15:50 |
Hokkaido |
|
Improvement image annotation using geo information and image composition Naoyuki Abe, Atsushi Shimada, Hajime Nagahara, Rin-ichiro Taniguchi (Kyushu Univ.) PRMU2011-82 IBISML2011-41 |
In recent years, many researchers use collective intelligence of the web to study an image annotation problem. The image... [more] |
PRMU2011-82 IBISML2011-41 pp.195-200 |
ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] |
2011-02-21 13:15 |
Hokkaido |
Hokkaido University |
A note on keyword hierarchy construction using visual features and its application to image annotation Marie Katsurai, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) ITS2010-35 IE2010-110 |
This paper proposes a keyword hierarchy construction method and its application to automatic image annotation. This meth... [more] |
ITS2010-35 IE2010-110 pp.69-72 |
PRMU |
2011-02-17 10:00 |
Saitama |
|
Large Scale Image Classification using Metric based on Correlation between Multiple Image Features and Class Labels Yoshitaka Ushiku, Yuya Yamashita, Jun Imura, Hideki Nakayama, Tatsuya Harada, Yasuo Kuniyoshi (Tokyo Univ.) PRMU2010-208 |
In this paper, we propose a scalable image recognition method for both image classification and image annotation. We fir... [more] |
PRMU2010-208 pp.1-6 |
PRMU |
2011-02-17 10:30 |
Saitama |
|
Automatic Image Annotation by Variational Random Forests Motofumi Fukui, Noriji Kato, Qi Wenyuan (Fuji Xerox) PRMU2010-209 |
Recently automatic image annotation (AIA) receives a lot of attention in the fields of information retrieval, and many i... [more] |
PRMU2010-209 pp.7-12 |
PRMU |
2011-02-17 17:10 |
Saitama |
|
[Special Talk]
Large-Scale Generic Image Recognition and Image Representation Tatsuya Harada (The Univ. of Tokyo) PRMU2010-218 |
In recent years, it is becoming possible to obtain a large amount of image and additional information (e.g., tags) from ... [more] |
PRMU2010-218 pp.61-74 |
PRMU, IPSJ-CVIM |
2010-11-18 10:30 |
Fukui |
|
Image Annotation based on Geolocation Atsushi Shimada (Kyushu Univ.), Vincent Charvillat (ENSEEIHT), Hajime Nagahara, Rin-ichiro Taniguchi (Kyushu Univ.) PRMU2010-113 |
The growth of photo-sharing website such as Flickr and Picasa enables us to access the billions of images easily. Recent... [more] |
PRMU2010-113 pp.1-6 |
IBISML, PRMU, IPSJ-CVIM [detail] |
2010-09-06 10:40 |
Fukuoka |
Fukuoka Univ. |
Action planning for interactive visual scene understanding based on knowledge confidence defined on latent spaces Gurbachan Sekhon (Univ. of British Columbia), Akisato Kimura, Yasuhiro Minami, Hitoshi Sakano, Eisaku Maeda (NTT) PRMU2010-83 IBISML2010-55 |
This report proposes a method for action planning in a system of interactive visual scene understanding through the use ... [more] |
PRMU2010-83 IBISML2010-55 pp.201-208 |
CAS, MSS, VLD, SIP |
2010-06-22 09:50 |
Hokkaido |
Kitami Institute of Technology |
A note on keyword relationship extraction based on visual features and its application to image annotation Marie Katsurai, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) CAS2010-19 VLD2010-29 SIP2010-40 CST2010-19 |
This paper proposes a novel keyword relationship extraction method using visual features, and its application to image a... [more] |
CAS2010-19 VLD2010-29 SIP2010-40 CST2010-19 pp.105-108 |
PRMU |
2010-02-18 14:45 |
Tokyo |
Tokyo Univ. of Agriculture and Technology |
Camera Pen System Using Feature Tracking and Document Image Retrieval Kazumasa Iwata, Koichi Kise, Masakazu Iwamura (Osaka Pref. Univ.), Seiichi Uchida (kyushu Univ.), Shinichiro Omachi (Tohoku Univ.) PRMU2009-214 |
This report presents a camera-pen for acquiring handwriting as digital ink.
With a pen we write memos on blank paper as... [more] |
PRMU2009-214 pp.39-44 |
MVE |
2009-10-08 13:00 |
Hokkaido |
Eco Center 2000 |
Image based view localization technique retrieving from a panorama database by local feature matching for outdoor annotation system Naoyuki Yazawa, Hideaki Uchiyama, Hideo Saito (Keio Univ.), Myriam Servieres, Guillaume Moreau (ECN) MVE2009-38 |
In this paper, we propose a method for an annotation system on an
outdoor image. The system is based on image retrieval... [more] |
MVE2009-38 pp.23-28 |
PRMU |
2008-12-19 10:45 |
Kumamoto |
Kumamoto Univ. |
Annotation method of segmented regions using a number of feature points shared among different images Yuichi Yoshida, Mitsuru Ambai (Denso It Lab, Inc.) PRMU2008-176 |
We propose an object annotation method for images obtained by widely available search engines oninternet. The goal of th... [more] |
PRMU2008-176 pp.171-176 |
PRMU |
2007-12-14 11:00 |
Hyogo |
Kobe Univ. |
Ultra high speed image annotation/retrieval method by learning the conceptual relationship between images and labels Hideki Nakayama, Tatsuya Harada, Yasuo Kuniyoshi (Tokyo Univ.), Nobuyuki Otsu (AIST) PRMU2007-147 |
Content-based image recognition and retrieval are challenging
problems which have wide application.
In this paper, we ... [more] |
PRMU2007-147 pp.65-70 |
SIP, ICD, IE, IPSJ-SLDM (Joint) [detail] |
2007-10-26 09:20 |
Fukushima |
Aidu-Higasiyama-Onsen Kuturogijuku |
Group-Based Image Retrieval Method Noboru Murabayashi, Setsuya Kurahashi, Kenichi Yoshida (Univ. of Tsukuba) SIP2007-124 ICD2007-113 IE2007-83 |
This paper proposes a group-based image retrieval method for video annotation systems. Although the wide spread use of... [more] |
SIP2007-124 ICD2007-113 IE2007-83 pp.7-12 |
PRMU |
2007-03-15 15:15 |
Okayama |
|
A Method of Annotation Extraction from Documents Using Alignment Based on Local Arrangements of Feature Points Tomohiro Nakai, Koichi Kise, Masakazu Iwamura (Osaka Pref. Univ.) |
Annotations on paper documents include important information, which can be exploited by their extraction and analysis. I... [more] |
PRMU2006-245 pp.61-66 |
DE, DC |
2005-10-18 14:15 |
Tokyo |
NTT Musashino R&D center |
A Sentence Extraction Technique Based on HTML Parsing Tree Structures around Images for WWW Image Retrieval Hiroshi Idehara, Noriyuki Fujimoto (Osaka Univ.), Hiroshi Takeno (NTT-Resonant), Kenichi Hagihara (Osaka Univ.) |
Web image retrieval is often used to obtain images of what a searcher does not know well. In such a case, existing Web i... [more] |
DE2005-136 DC2005-30 pp.19-24 |