| 基于改良NB树的内存高维索引算法 |
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| 引用本文： | 邝颖杰,刘燕.基于改良NB树的内存高维索引算法[J].农业网络信息,2007(4):59-62. |
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| 作者姓名： | 邝颖杰 刘燕 |
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| 作者单位： | 1. 华南农业大学,信息学院计算机系,广东,广州,510642
2. 广东技术师范学院,管理系,广东,广州,510665 |
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| 摘 要： | 基于内容的图像检索是近年来的热门研究内容，其中，有效的高维索引机制是使大规模图像库的检索能够达到实时性要求的关键技术。以往大部分学者都集中研究磁盘索引，但其实在目前大内存的环境下对内存索引的研究也是非常必要。本文运用PCA原理改进了一种理想的内存索引方法NB树，经过改进以后其检索性能得到进一步提高。
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| 关 键 词： | 基于内容的图像检索 内存索引 高维索引 k-近邻检索 |
| 文章编号： | 1672-6251(2007)04-0059-04 |
| 修稿时间： | 2007年1月5日 |
Memory-basedindex algorithm in high-dimensional spaces based on the improved NB tree |
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| KUANG Ying-jie,LIU Yan.Memory-basedindex algorithm in high-dimensional spaces based on the improved NB tree[J].Agriculture Network Information,2007(4):59-62. |
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| Authors: | KUANG Ying-jie LIU Yan |
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| Abstract: | Content-based image retrieval become hot spot in research for recent years.Efficient indexing schemes for high-dimensional data are required for real-time retrieval in large-scale image database.For a long time researchers only focus on disk-based index,but research on memory-based index is of great value today because of the mass memory condition.A modification of NB tree based on PCA theory is proposed in this paper.Experiment shows that the search performance can be further improved by the modification. |
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| Keywords: | Content-based image retrieval Memory-based index High-dimensional index k-NN search |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
