Description

There are now billions of images stored on photo sharing websites. These images contain visual cues that reflect the geographical location of where the photograph was taken (e.g. New York City). Linking visual features in images to physical locations has many potential applications, such as tourism recommendation systems. However, the size and nature of these databases pose great challenges. For example, the distribution of images around the world is highly biased towards popular regions. This results in high redundancy in certain locations, while under-representing the features in other regions. Many density estimation methods are unable to handle such datasets.