Enhanced nearest neighbour search on the R-tree

  • Authors:
  • King Lum Cheung;Ada Wai-Chee Fu

  • Affiliations:
  • Department of Computer Science and Engineering, The Chinese University of Hong Kong;Department of Computer Science and Engineering, The Chinese University of Hong Kong

  • Venue:
  • ACM SIGMOD Record
  • Year:
  • 1998

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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.