抄録
The growth of photo-sharing website such as Flickr and Picasa enables us to access the billions of images easily. Recent years, many researchers leverage such photo-sharing site to tackle the image annotation problem. The aim of the image annotation is to give a proper label to an unknown image. Generally, image features and label features are used to acquire the relationship between them. Meanwhile, we use not only such image and label features but also geolocation which indicate the information where the image was taken. We formulate the image annotation problem as two important issues; image-based labeling and label-based localization. The former issue is to estimate a proper label from a given image. The latter is the issue to estimate the location from the label. Our approach combine these two estimation strategies. We conducted some experiments and found that our approach outperformed the traditional approach.
| 元の言語 | 英語 |
|---|---|
| ホスト出版物のタイトル | 1st Asian Conference on Pattern Recognition, ACPR 2011 |
| ページ | 657-661 |
| ページ数 | 5 |
| DOI | |
| 出版物ステータス | 出版済み - 12 1 2011 |
| イベント | 1st Asian Conference on Pattern Recognition, ACPR 2011 - Beijing, 中国 継続期間: 11 28 2011 → 11 28 2011 |
出版物シリーズ
| 名前 | 1st Asian Conference on Pattern Recognition, ACPR 2011 |
|---|
その他
| その他 | 1st Asian Conference on Pattern Recognition, ACPR 2011 |
|---|---|
| 国 | 中国 |
| 市 | Beijing |
| 期間 | 11/28/11 → 11/28/11 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Computer Vision and Pattern Recognition
これを引用
Geolocation based image annotation. / Shimada, Atsushi; Nagahara, Hajime; Taniguchi, Rin-Ichiro; Charvillat, Vincent.
1st Asian Conference on Pattern Recognition, ACPR 2011. 2011. p. 657-661 6166619 (1st Asian Conference on Pattern Recognition, ACPR 2011).研究成果: 著書/レポートタイプへの貢献 › 会議での発言
}
TY - GEN
T1 - Geolocation based image annotation
AU - Shimada, Atsushi
AU - Nagahara, Hajime
AU - Taniguchi, Rin-Ichiro
AU - Charvillat, Vincent
PY - 2011/12/1
Y1 - 2011/12/1
N2 - The growth of photo-sharing website such as Flickr and Picasa enables us to access the billions of images easily. Recent years, many researchers leverage such photo-sharing site to tackle the image annotation problem. The aim of the image annotation is to give a proper label to an unknown image. Generally, image features and label features are used to acquire the relationship between them. Meanwhile, we use not only such image and label features but also geolocation which indicate the information where the image was taken. We formulate the image annotation problem as two important issues; image-based labeling and label-based localization. The former issue is to estimate a proper label from a given image. The latter is the issue to estimate the location from the label. Our approach combine these two estimation strategies. We conducted some experiments and found that our approach outperformed the traditional approach.
AB - The growth of photo-sharing website such as Flickr and Picasa enables us to access the billions of images easily. Recent years, many researchers leverage such photo-sharing site to tackle the image annotation problem. The aim of the image annotation is to give a proper label to an unknown image. Generally, image features and label features are used to acquire the relationship between them. Meanwhile, we use not only such image and label features but also geolocation which indicate the information where the image was taken. We formulate the image annotation problem as two important issues; image-based labeling and label-based localization. The former issue is to estimate a proper label from a given image. The latter is the issue to estimate the location from the label. Our approach combine these two estimation strategies. We conducted some experiments and found that our approach outperformed the traditional approach.
UR - http://www.scopus.com/inward/record.url?scp=84862903228&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84862903228&partnerID=8YFLogxK
U2 - 10.1109/ACPR.2011.6166619
DO - 10.1109/ACPR.2011.6166619
M3 - Conference contribution
AN - SCOPUS:84862903228
SN - 9781457701221
T3 - 1st Asian Conference on Pattern Recognition, ACPR 2011
SP - 657
EP - 661
BT - 1st Asian Conference on Pattern Recognition, ACPR 2011
ER -