DocumentCode
3518862
Title
Geolocation based image annotation
Author
Shimada, Atsushi ; Nagahara, Hajime ; Taniguchi, Rin-ichiro ; Charvillat, Vincent
Author_Institution
Grad. Sch. & Fac. of Inf. Sci. & Electr. Eng., Kyushu Univ., Fukuoka, Japan
fYear
2011
fDate
28-28 Nov. 2011
Firstpage
657
Lastpage
661
Abstract
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.
Keywords
feature extraction; geophysical image processing; image retrieval; social networking (online); geolocation based image annotation; image access; image features; image-based labeling; label features; label-based localization; photosharing Website; Accuracy; Estimation; Geology; Labeling; Probabilistic logic; Training; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (ACPR), 2011 First Asian Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4577-0122-1
Type
conf
DOI
10.1109/ACPR.2011.6166619
Filename
6166619
Link To Document