Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Is It Time for a Moratorium on Metadata?
IEEE MultiMedia
ACM Transactions on the Web (TWEB)
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
Speeded-Up Robust Features (SURF)
Computer Vision and Image Understanding
Event detection from flickr data through wavelet-based spatial analysis
Proceedings of the 18th ACM conference on Information and knowledge management
Social event detection and retrieval in collaborative photo collections
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Event-based classification of social media streams
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Social event detection using multimodal clustering and integrating supervisory signals
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
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The detection of a specific social event requires for high semantic understanding in the interpretation of particular event characteristics such as its type and location. In many cases, photos capturing different events at the same (or highly similar) locations can hardly be distinguished by each other. Available metadata can provide assistance where there is no expert knowledge at hand. However, metadata often lack completeness and reliability. In this paper, we explore the feasibility of a fully automated approach for the detection of specific social events. In comparison to related approaches, we do not incorporate query-specific processing and we perform no manual adaptation of the input query. The resulting approach is applicable to arbitrary event types.