DOMINO: databases fOr MovINg Objects tracking
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Indexing Animated Objects Using Spatiotemporal Access Methods
IEEE Transactions on Knowledge and Data Engineering
Modeling and Querying Moving Objects
ICDE '97 Proceedings of the Thirteenth International Conference on Data Engineering
MV3R-Tree: A Spatio-Temporal Access Method for Timestamp and Interval Queries
Proceedings of the 27th International Conference on Very Large Data Bases
A Spatiotemporal Model and Language for Moving Objects on Road Networks
SSTD '01 Proceedings of the 7th International Symposium on Advances in Spatial and Temporal Databases
Video visualization for compact presentation and fast browsing of pictorial content
IEEE Transactions on Circuits and Systems for Video Technology
Efficient summarization of spatiotemporal events
Communications of the ACM
Modeling and comparing spatiotemporal events
dg.o '04 Proceedings of the 2004 annual national conference on Digital government research
State-of-the-art on spatio-temporal information-based video retrieval
Pattern Recognition
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This paper defines a framework for the spatio-temporal analysis of motion imagery (MI) datasets depicting two-dimensional phenomena evolving in time. More specifically, we introduce the concept of a spatiotemporal helix as a concise representation of spatiotemporal events, modeling their path in space and the variations of their outline. We also present in some detail the automated algorithms developed to support the automated generation of spatiotemporal helixes and discuss their comparison to support spatiotemporal analysis.