A View-port Dependent Method for Multi-Scale Spatial Data Retrieval
一种视口相关的空间数据多尺度检索方法

Effective data selection strategy is one of the important issues of distributed spatial data retrieval. This pa- per proposes a view-port dependent method for distributed spatial data retrieval based on human vision features with fully considering the effects of view-port with different scale. By integrating the proposed model into the distributed spatial data retrieval algorithm, the method can adaptively tune the distributed data selection strategy according to the scale of current view-port. Experiment shows that the proposed method has favorable performance in small scale view-port query, and can rapidly obtain the approximate result with low cost.