  In this paper we propose methods to extract geographically relevant
information in a multimedia recording using its audio. Our method primarily is
based on the fact that urban acoustic environment consists of a variety of
sounds. Hence, location information can be inferred from the composition of
sound events/classes present in the audio. More specifically, we adopt matrix
factorization techniques to obtain semantic content of recording in terms of
different sound classes. These semantic information are then combined to
identify the location of recording.
