Explore visual geo-localization and location-aware image understanding in this 52-minute conference talk presented by Amir Zamir from the University of Central Florida. Dive into ground level imagery and geo-localization techniques using image matching. Examine various approaches to visual geo-localization, including geospatial pruning, quantitative localization results, and the use of multiple nearest neighbors. Learn about forming input graphs for Generalized Minimum Clique Problems and robustifying distance functions. Discover segment geo-localization methods, including MST-based trajectory reconstruction and triplet location estimation. Investigate visual business recognition techniques, multi-hypotheses character recognition, and the fusion of text processing with image matching. Gain insights into future directions for research in this field.