%0 Journal Article
%T A New Indexing Method for High-Dimensional Image Databases Using Hadamard Transform<br>基于Hadamard变换的高维图像检索方法
%A CUI Jiang-Tao
%A ZHOU Shui-Sheng
%A ZHOU Li-Hua
%A <br>崔江涛
%A 周水生
%A 周利华
%J 计算机科学
%D 2006
%I 
%X Traditional indexing methods face the difficulty of'curse of dimensionality'at high dimensionality.The vec- tor approximation file(VA-File)approach based on wavelet transform is a very efficient high-dimensional indexing meth- od.In this paper,a new VA-File approach in the Hadamard transform domain is introduced.This approach combines Hadamard transform and principle component filtering algorithm,which can reduce the searching complexity and I/O cost dramatically on large image databases.Experiment results show that the new method is more efficient than VA- File based on wavelet transform.
%K Image databases
%K Curse of dimensionality
%K k-nearest neighbor search
%K Vector approximation
%K Hadamard transform<br>图像数据库
%K 维数灾难
%K k-近邻搜索
%K 向量近似
%K Hadamard变换
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=E5A6843203CC52E1&yid=37904DC365DD7266&vid=27746BCEEE58E9DC&iid=38B194292C032A66&sid=D2742EEE6F4DF8FE&eid=797D49279EA93BC4&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=8