Reverse View Field Nearest Neighbor queries

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초록

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. (C) 2017 Elsevier Inc. All rights reserved.

키워드

Spatial database; Reverse View Field Nearest Neighbor query; Smart surveillance systems
제목
Reverse View Field Nearest Neighbor queries
저자
Yi, Sungmin; Shim, Changbeom; Chung, Yon Dohn
DOI
10.1016/j.ins.2017.03.031
발행일
2017-09
유형
Article
저널명
Information Sciences
권
402
페이지
35 ~ 49