Geolocation based image annotation

Atsushi Shimada, Hajime Nagahara, Rin-Ichiro Taniguchi, Vincent Charvillat

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publication1st Asian Conference on Pattern Recognition, ACPR 2011
Pages657-661
Number of pages5
DOIs
Publication statusPublished - Dec 1 2011
Event1st Asian Conference on Pattern Recognition, ACPR 2011 - Beijing, China
Duration: Nov 28 2011Nov 28 2011

Publication series

Name1st Asian Conference on Pattern Recognition, ACPR 2011

Other

Other1st Asian Conference on Pattern Recognition, ACPR 2011
CountryChina
CityBeijing
Period11/28/1111/28/11

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

Fingerprint Dive into the research topics of 'Geolocation based image annotation'. Together they form a unique fingerprint.

  • Cite this

    Shimada, A., Nagahara, H., Taniguchi, R-I., & Charvillat, V. (2011). Geolocation based image annotation. In 1st Asian Conference on Pattern Recognition, ACPR 2011 (pp. 657-661). [6166619] (1st Asian Conference on Pattern Recognition, ACPR 2011). https://doi.org/10.1109/ACPR.2011.6166619