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Exploitation of time constraints for (sub-)event recognition
2011
Proceedings of the 2011 joint ACM workshop on Modeling and representing events - J-MRE '11
The aim of this paper is threefold: (a) to introduce a dataset for the recognition of events and sub-events in photographs taken by common users; (b) to propose event-based classification to achieve a more accurate labeling of event-related photo collections; (c) to use time clustering information to improve the sub-event recognition in an efficient Bag of Features classification approach. The dataset is organized according to event models and provides a collection of sample instances that
doi:10.1145/2072508.2072511
fatcat:qzbmbdgcvfdxbjemcmy22dooem