Exploiting Geospatial Properties for Efficient Visual Data Management and Learning

Due to the availability of smart mobile cameras, we are experiencing unprecedented growth in the amount of visual content that is being collected. Mobile cameras include a plethora of built-in sensors such as global position system (GPS) receiver and digital compass, recording geospatial properties (e.g., location and viewing direction of camera) during capture time. This facilitates the modeling of mobile visual content through its geo-spatial properties at a fine granular level and provides an essential metadata to manage a large amount of geo-tagged visual data.

Dr. Seon Ho Kim is a Research Scientist and Associate Director in the Integrated Media Systems Center (IMSC) at the University of Southern California. He also teaches in the Data Science Program in the Viterbi School of Engineering at USC.