LifeLines: visualizing personal histories
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Self-organizing maps
Modeling Moving Objects over Multiple Granularities
Annals of Mathematics and Artificial Intelligence
Efficient summarization of spatiotemporal events
Communications of the ACM
Robust Similarity Measures for Mobile Object Trajectories
DEXA '02 Proceedings of the 13th International Workshop on Database and Expert Systems Applications
Modeling and comparing change using spatiotemporal helixes
GIS '03 Proceedings of the 11th ACM international symposium on Advances in geographic information systems
Hierarchical structures for video query systems
dg.o '02 Proceedings of the 2002 annual national conference on Digital government research
Spatio temporal helixes for event modeling
dg.o '02 Proceedings of the 2002 annual national conference on Digital government research
State-of-the-art on spatio-temporal information-based video retrieval
Pattern Recognition
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Spatiotemporal helixes constitute a novel method we developed for modeling changes in an object over time. Changes in both an object's trajectory and its outline can be represented with these helixes. In addition, spatiotemporal helixes can be compared to determine whether multiple objects have undergone similar changes. In this paper, we present a method by which these helixes may be compared, and then discuss possible actions to take after results have been obtained. Helixes of objects with similar behaviors may be generalized into a single helix that represents the behavior of the group of objects. In addition, helixes of objects that stop behaving in a similar manner over time can be split into discrete helixes. These aspects of helix definition and behavior are potentially useful to digital government related activities involving large geospatial datasets including objects moving or phenomena evolving over time.