A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Towards context-aware face recognition
Proceedings of the 13th annual ACM international conference on Multimedia
Towards automatic extraction of event and place semantics from flickr tags
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Traps and Pitfalls of Topic-Biased PageRank
Algorithms and Models for the Web-Graph
Event recognition: viewing the world with a third eye
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Close & closer: social cluster and closeness from photo collections
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Context-aware person identification in personal photo collections
IEEE Transactions on Multimedia - Special issue on integration of context and content
Learning similarity metrics for event identification in social media
Proceedings of the third ACM international conference on Web search and data mining
The wisdom of social multimedia: using flickr for prediction and forecast
Proceedings of the international conference on Multimedia
Automatic person annotation of family photo album
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
Studying a personality coreference network in a news stories photo collection
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
A general framework for people retrieval in social media with multiple roles
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
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Pictures taken by journalists for distribution and for inclusion in stock photo collections are often enriched with metadata. One key aspect of such photos is that they focus largely on events and feature celebrities and other public figures. They may provide interesting insights into how such public figures are related to each other in terms of the events they attend, and in their social proximity in terms of how often they are photographed together. In this paper, we study a corpus of approximately 9 million stock photographs taken over a 10 year period and, using their metadata, we extract a social network from co-appearance of public figures in events depicted in the photographs. We exploit this latent social information and combine it with the rich image metadata to explore the possibility of predicting attendees at future events, showing promising performance for this task.