Multi-source fusion based geo-tagging for web images.

Geographic locations estimation for web images have been received a lot of attention in recent years. With the help of smart phone, it is very popular for us to capture photos and share them in our social media networks. Users often generate several tags to describe image content. Many images are embedded with with geo-tags. In this paper, we propose an effective image GPS (geo-coordinates or geo-tags) estimation approach by fusing the multi-source such as textual, temporal and visual features of web images. We propose a hierarchical strategy to inference the GPS of web image. We preselect several geographic locations of higher expected relevance and perform a deeper analysis inside the selected locations to return the coordinates most likely to be related to the input image by an enhanced language model. Experiments show the effectiveness of our proposed approach. [ABSTRACT FROM AUTHOR]