Soccer players identification based on visual local features
Proceedings of the 6th ACM international conference on Image and video retrieval
Unsupervised content-based indexing for sports video retrieval
Proceedings of the 15th international conference on Multimedia
An interactive paper and digital pen interface for query-by-sketch image retrieval
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
Tracking multiple people under global appearance constraints
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
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We present SportSense, a system for interactive sports video retrieval using sketch-based motion queries. SportSense is based on sports videos of games, enriched with an overlay of metadata that incorporates spatio-temporal information about various events and movements. We present how sketch-based motion queries are formulated and executed, as well as the use of various intuitive input interfaces to acquire the query object. The system uses spatio-temporal index structures to facilitate interactive response times.