Exploration of Feature Combination in Geo-visual Ranking for Visual Content-based Location Prediction
Xinchao Li, Michael Alexander Riegler, Martha A. Larson, Alan Hanjalić · 2013
In this paper, we present a visual-content-based approach that predicts where in the world a social image was taken. We employ a ranking method that assigns a query photo the geo-location of its most likely geo-visual neighbor in the social image collection. The experiments carried out on the MediaEval Placing Task 2013 data set support the conclusion that the exploration of candidate photo’s geo-visual neighbors and the combination of local and global image features can improve the prediction accuracy of visual-contentbased geo-location estimation system. 1.