Image Characteristics Indexing Based on X-Tree

文献类型： 外文期刊

第一作者： Gao Ronghua

作者： Gao Ronghua;Wu Huarui

作者机构：

关键词： image characteristics;indexing;X-tree;retrieval;multimedia

期刊名称：APPLIED SCIENCE, MATERIALS SCIENCE AND INFORMATION TECHNOLOGIES IN INDUSTRY

ISSN： 1660-9336

年卷期： 2014 年 513-517 卷

页码：

收录情况： SCI

摘要： Image data set are usually very large, which might consist of millions of image objects, it is essential to use an efficient and effective indexing technique to facilitate speedy searching. The features can be expressed in terms of high-dimensional vector data which can be compared with a given query for similarity between them. It is more important that the image database should be preprocessed and establish indexing to improve retrieval efficiency. In this paper, the method of improved X-tree is proposed, design and implementation of a high dimensional index application to facilitate the speedy searching in feature based image information retrieval. Compared by retrieval efficiency and retrieval result, it is convincingly proved that hierarchical index structure based on clustering is efficient and applicable in image characteristics indexing.

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