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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 35 of 35 [Previous]  /   
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
 Results 21 - 35 of 35 [Previous]  /   
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