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Enhanced nearest neighbour search on the R-tree
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Volume 27 ,  Issue 3  (September 1998) table of contents
Pages: 16 - 21  
Year of Publication: 1998
ISSN:0163-5808
Authors
King Lum Cheung  Department of Computer Science and Engineering, The Chinese University of Hong Kong
Ada Wai-Chee Fu  Department of Computer Science and Engineering, The Chinese University of Hong Kong
Publisher
ACM  New York, NY, USA
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ABSTRACT

Multimedia databases usually deal with huge amounts of data and it is necessary to have an indexing structure such that efficient retrieval of data can be provided. R-Tree with its variations, is a commonly cited indexing method. In this paper we propose an improved nearest neighbor search algorithm on the R-tree and its variants. The improvement lies in the removal of two hueristics that have been used in previous R*-tree work, which we prove cannot improve on the pruning power during a search.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  27

Collaborative Colleagues:
King Lum Cheung: colleagues
Ada Wai-Chee Fu: colleagues