The document summarizes an algorithm for generating concise summaries and visualizations of large collections of geotagged photographs. The algorithm first clusters photographs by location then ranks photos within each cluster based on factors like number of photos, tag distinguishability, and photographer distinguishability. It produces a ranked list of all photos as a summary. The algorithm's summaries and "tag maps" visualizing tag relationships are evaluated against human judgments finding they identify representative locations and important tags for visualizing the dataset.

1. Generating Summaries and Visualization for Large Collections of Geo-referenced Photographs Alexander Jaffe*, Mor Naaman *, Tamir Tassa † , Marc Davis $ *Yahoo! Research Berkeley † Open University of Israel $ Yahoo! Research

9. (Very) Simple Example

11. The Clustered Return of the (Very) Simple Example! 4, 6, 5 8,7 4,8,6,5,7 20 10

15. Summary of San Francisco Golden Gate Bridge TransAmerica AT&T Baseball Park Golden Gate Twin Peaks Golden Gate Bay Bridge Ocean Beach Chinatown

18. Tag Maps

19. Tag Maps

21. Maybe we have time for a demo