A data model and data structures for moving objects databases
By L. Forlizzi, R. H. Güting, E. Nardelli, Markus Schneider. ACM SIGMOD Conference, 2000
430 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing
View Paper: https://www.semanticscholar.org/paper/d07c497c0a7fc79b014a9b2e0a37a765bad04ecd
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Walid G. Aref
- Sunil Prabhakar
- Dmitri V. Kalashnikov
- Pankaj Kumar Agarwal
- Mohamed F. Mokbel
- Reynold Cheng
- Xiaopeng Xiong
In Computer Vision and Pattern Recognition
- Walid G. Aref
- Sunil Prabhakar
- Dmitri V. Kalashnikov
- Pankaj Kumar Agarwal
- Mohamed F. Mokbel
- Xiaopeng Xiong
- Sariel Har-Peled
In Signal Processing
- Walid G. Aref
- Sunil Prabhakar
- Dmitri V. Kalashnikov
- Pankaj Kumar Agarwal
- Mohamed F. Mokbel
- Jeffrey Scott Vitter
- Reynold Cheng
- Xiaopeng Xiong
Citations in the corpus
- Query Indexing and Velocity Constrained Indexing: Scalable Techniques for Continuous Queries on Moving Objects (2002, background): “Spatio-temporal database models to support moving objects, spatio-temporal types and supporting operations have been developed in [12, 13].”
- Indexing Moving Points (2003, methodology): “Although a number of practical methods have been proposed for accessing and searching moving objects 38, 33, 20], they all require (n) I/Os in the worst case| even if the query output size is O(1).”