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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 12 of 12  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IBISML, IPSJ-CVIM [detail] 2013-09-03
16:15		 Tottori   Image annotation from wild using semantic hierarchies
Masatoshi Hidaka, Naoyuki Gunji, Tatsuya Harada (Univ. of Tokyo) PRMU2013-52 IBISML2013-32		 For many-class image annotation system, automatic construction of large-scale dataset is needed. Wild web is regarded as... [more] PRMU2013-52 IBISML2013-32
pp.201-206
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]		 2012-09-03
10:30		 Tokyo   Nonparametric Bayesian Estimation for Automatic Image Annotation Using Gaussian Mixture Model
Yukihiro Tsuboshita, Noriji Kato (Fuji Xerox), Masato Okada (The universisty of Tokyo) PRMU2012-40 IBISML2012-23		 Automatic image annotation (AIA) is a process to automatically assign metadata to a digital image in the form of caption... [more] PRMU2012-40 IBISML2012-23
pp.93-98
PRMU, FM 2011-12-16
16:00		 Shizuoka Hamamatsu Campus, Shizuoka Univ. Image Annotation Using Adapted Gaussian Mixture Model
Yukihiro Tsuboshita, Noriji Kato (Fuji Xerox), Masato Okada (The Univ. of Tokyo) PRMU2011-144		 In the present study, we focus on learning based automatic image annotation method using Gaussian mixture model (GMM) as... [more] PRMU2011-144
pp.113-118
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
LOIS 2011-03-03
16:05		 Okinawa Ishigaki IT business support center Image Annotation utilizing Event Program Information as Lifelogs
Airi Sonehara, Taeko Zama, Akihisa Kodate (Tsuda College) LOIS2010-79		 This paper describes which log data can be accumulated and used for an efficient image annotation and the results of exp... [more] LOIS2010-79
pp.83-87
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
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
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 2008-02-21
11:00		 Ibaraki Univ. of Tsukuba High-level feature extraction from video data using tree clustering
Taichi Nakamura, Koichi Shinoda, Sadaoki Furui (Tokyo Tech) PRMU2007-220		 We propose a novel method using a tree-structured codebook and a node selection technique for high-level feature extract... [more] PRMU2007-220
pp.37-42
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
 Results 1 - 12 of 12  /   
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