Searching similar images — Vector quantization with S-tree

J. Platoš, P. Krömer, V. Snás̃el, A. Abraham
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引用次数: 3

Abstract

Searching of similar pictures was in the past based mainly on searching of similar picture names. We try to find an effective method how to search pictures by searching of similar information in the picture (histograms, shapes, blocks,). There already are some methods but still not effective enough. In this paper we describe a method where we combine vector quantization (VQ) and fuzzy S-trees. Work contains testing of our approach and you can see results in a final chapter of this paper. The benefit of this work is not the final solution but we put a key-stone for further research and for optimizations. First tests show up the efficiency and usefulness of our approach, which is under laid by executed tests.
搜索相似的图像-矢量量化与s树
过去,相似图片的搜索主要基于相似图片名称的搜索。我们试图通过搜索图片中的相似信息(直方图、形状、块等)来寻找一种有效的搜索方法。已经有了一些方法,但还不够有效。本文描述了一种将矢量量化(VQ)与模糊s树相结合的方法。工作中包含了对我们的方法的测试,您可以在本文的最后一章中看到结果。这项工作的好处并不是最终的解决方案,但我们为进一步的研究和优化奠定了基础。第一个测试显示了我们的方法的效率和有用性,这是在执行测试的基础上实现的。
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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