Multimodal Location Estimation

Location estimation is the task of estimating the geo-coordinates of the content recorded in digital media The Berkeley Multimodal Location Estimation project aims to leverage the GPS-tagged media available on the web as training set for an automatic location estimator. The idea is that visual and acoustic cues can narrow down the possible recording location for a given image, video, or audio track. We also investigate the human baseline of location estimation, i.e. how well does a human do in comparison to a computer?

This is a collaboration with the computer vision group at ICSI as well as with the UC Berkeley BASiCS group (Berkeley Audio Visual Signal Processing and Communication Systems).

More information on this project can be found at