Generating synthetic meta-data for georeferenced video management

Abstract

Recently various sensors, such as GPS and compass devices, can be cost-effectively manufactured and this allows their deployment in conjunction with mobile video cameras. Hence, recorded clips can automatically be annotated with geospa-tial information and the resulting georeferenced videos may be used in various Geographic Information System (GIS) applications. However, the research community is lacking large-scale and realistic test datasets of such sensor-fused information to evaluate their techniques since collecting real-world test data requires considerable time and effort. To fill this void, we propose an approach for generating synthetic video meta-data with realistic geospatial properties for mobile video management research. We highlight the essential aspects of the georeferenced video meta-data and present an approach to simulate the behavioral patterns of mobile cameras in the synthetic data. The data generation process can be customized through user parameters for a variety of GIS applications that use mobile videos. We demonstrate the feasibility and applicability of the proposed approach by providing comparisons with real-world data. © 2010 ACM.