Geotagged Photo Recognition Using Corresponding Aerial Photos with Multiple Kernel Learning

In this paper, we treat with generic object recognition for geotagged images. As a recognition method for geotagged photos, we have already proposed exploiting aerial photos around geotag places as additional image features for visual recognition of geotagged photos. In the previous work, to fuse two kinds of features, we just concatenate them. Instead, in this paper, we introduce Multiple Kernel Learning (MKL) to integrate both features of photos and aerial images. MKL can estimate the contribution weights to integrate both kinds of features. In the experiments, we confirmed effectiveness of usage of aerial photos for recognition of geotagged photos, and we evaluated the weights of both features estimated by MKL for eighteen concepts.