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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.
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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
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Christian S. Jensen , Jan Kolářvr , Torben Bach Pedersen , Igor Timko, Nearest neighbor queries in road networks, Proceedings of the 11th ACM international symposium on Advances in geographic information systems, p.1-8, November 07-08, 2003, New Orleans, Louisiana, USA
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Thomas Schwarz , Markus Iofcea , Matthias Grossmann , Nicola Hönle , Daniela Nicklas , Bernhard Mitschang, On efficiently processing nearest neighbor queries in a loosely coupled set of data sources, Proceedings of the 12th annual ACM international workshop on Geographic information systems, November 12-13, 2004, Washington DC, USA
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Xiaobin Ma , Shashi Shekhar , Hui Xiong , Pusheng Zhang, Exploiting a page-level upper bound for multi-type nearest neighbor queries, Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems, November 10-11, 2006, Arlington, Virginia, USA
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Yun-Jun Gao , Chun Li , Gen-Cai Chen , Ling Chen , Xian-Ta Jiang , Chun Chen, Efficient k-nearest-neighbor search algorthims for historical moving object trajectories, Journal of Computer Science and Technology, v.22 n.2, p.232-244, March 2007
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