Title :
The design of the cell tree: an object-oriented index structure for geometric databases
Author_Institution :
Dept. of Comput. Sci., California Univ., Santa Barbara, CA, USA
Abstract :
The design of the cell tree, an object-oriented dynamic index structure for geometric databases, is described. The data objects in the database are represented as unions of convex point sets (cells). The cell tree is a balanced tree structure whose leaves contain the cells and whose interior nodes correspond to a hierarchy of nested convex polyhedra. This index structure allows quick access to the cells (and thereby to the data objects) that occupy a given location in space. The cell tree is designed for paged secondary memory to minimize the number of disk accesses occurring during a tree search. Point locations and range searches can be carried out very efficiently using the cell tree
Keywords :
database management systems; geometry; information retrieval systems; mathematics computing; object-oriented programming; balanced tree structure; cell tree; convex point sets; data objects; disk accesses; geometric databases; interior nodes; nested convex polyhedra; object-oriented dynamic index structure; paged secondary memory; point locations; range searches; tree search; Application software; Computer science; Computer vision; Data structures; Database systems; Indexes; Object oriented databases; Robot vision systems; Spatial databases; Tree data structures;
Conference_Titel :
Data Engineering, 1989. Proceedings. Fifth International Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
0-8186-1915-5
DOI :
10.1109/ICDE.1989.47267