Geographic location tags on digital images
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Automatic organization for digital photographs with geographic coordinates
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
Photo LOI: browsing multi-user photo collections
Proceedings of the 13th annual ACM international conference on Multimedia
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Ubiquitous Computing for Capture and Access
Foundations and Trends in Human-Computer Interaction
Constructing a landmark identification system for geo-tagged photographs based on web data analysis
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Flexible access to photo libraries via time, place, tags, and visual features
Proceedings of the 10th annual joint conference on Digital libraries
Semantic analysis and retrieval in personal and social photo collections
Multimedia Tools and Applications
Effective summarization of large collections of personal photos
Proceedings of the 20th international conference companion on World wide web
Summarization of archived and shared personal photo collections
Proceedings of the 20th international conference companion on World wide web
Summarization of personal photologs using multidimensional content and context
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Effective summarization of large-scale web images
MM '11 Proceedings of the 19th ACM international conference on Multimedia
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Image collection summarization via dictionary learning for sparse representation
Pattern Recognition
Hybrid image summarization by hypergraph partition
Neurocomputing
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We describe a framework for automatically selecting a summary set of photographs from a large collection of geo-referenced photos. The summary algorithm is based on spatial patterns in photo sets, but can be expanded to support social, temporal, as well as textual-topical factors of the photo set. The summary set can be biased by the user, the content of the user's query, and the context in which the query is made. An initial evaluation on a set of geo-referenced photos shows that our algorithm performs well, producing results that are highly rated by users.