GiView: a multi-resolution geographical data retrieval system

Dantong Yu, Lei Zhu, Aidong Zhang, Ling Bian

Research output: Contribution to journalArticlepeer-review


The State University of New York at Buffalo is developing a geographic image retrieval system termed GiView. From a large-scale geographic image database, the system retrieves relevant images that contain parts similar to a given query image. The system extracts texture and color features of geographic images. One key design of the system is a practical image decomposition scheme called nona-tree that uses a hierarchical overlapping window structure. This treatment offers a compromise to alleviate the difficulty of object recognition which is still an open problem in computer vision. The system also takes the advantage of multi-resolution properties of wavelet transforms so that the system can extract texture features in different scales. This design takes into account the multi-scale nature of geographic images and improves retrieval efficiency. A third key design of the system is to cluster database images based on their similarity to a set of geographic image templates. The templates are selected according to needs of particular projects and multiple cluster approaches are implemented to accommodate different needs.

Original languageEnglish (US)
Number of pages1
JournalProceedings of the International Conference on Scientific and Statistical Database Management, SSDBM
StatePublished - Jan 1 1999
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Software
  • Applied Mathematics


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