Abstract
In this paper, we introduce a novel type of spatial query called the Reverse View Field Nearest Neighbor (RVFNN) query. To process the query, we propose two query processing methods on an R*-tree: (1) RVFNN query processing on a sector-based R*-tree and (2) RVFNN query processing on an origin-based R*-tree. In addition, we propose a new type of spatial data index structure called the View Field R-tree (VFR-tree) and a search method for RVFNN queries on the VFR-tree. The VFR-tree overcomes the limitations of the R*-tree by considering both origins and sectors. We carry out various experiments to evaluate the performance and verify the efficiency of the proposed methods.
Original language | English |
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Pages (from-to) | 35-49 |
Number of pages | 15 |
Journal | Information Sciences |
Volume | 402 |
DOIs | |
Publication status | Published - 2017 Sept 1 |
Keywords
- Reverse View Field Nearest Neighbor query
- Smart surveillance systems
- Spatial database
ASJC Scopus subject areas
- Control and Systems Engineering
- Theoretical Computer Science
- Software
- Computer Science Applications
- Information Systems and Management
- Artificial Intelligence