Using Hilbert curve in image storing and retrieving

Z. Song, N. Roussopoulos
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引用次数: 29

Abstract

In this paper, we present a method to accelerate the speed of retrieving subset of uncompressed images in a database without using extra disk space. First we change the storing method: pixels of an image are saved in Hilbert order instead of Row-wise order in traditional method. After studying the property of Hilbert curve, we give a new algorithm which greatly reduces the data segment numbers on the disk. Although we have to retrieve more data than necessary, because the speed of sequential readings is much faster than the speed of random readings, our method spends about 10% less elapsed time which is showed in our simulation experiments. In some systems, the saving can be as high as 90%.
在图像存储和检索中使用希尔伯特曲线
本文提出了一种在不占用额外磁盘空间的情况下加快检索数据库中未压缩图像子集速度的方法。首先,我们改变了存储方法:图像的像素按希尔伯特顺序存储,而不是传统方法中的按行顺序存储。在研究了希尔伯特曲线的特性后,我们给出了一种新算法,大大减少了磁盘上的数据段数量。虽然我们需要检索的数据多于所需的数据,但由于顺序读取的速度远远快于随机读取的速度,我们的方法节省了大约 10%的时间,这在我们的模拟实验中得到了证明。在某些系统中,节省的时间可高达 90%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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