如何在CBIR中比较搜索引擎?

2016 SAI Computing Conference (SAI) Pub Date : 2016-07-13 DOI:10.1109/SAI.2016.7555995

T. Jaworska

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引用次数: 2

摘要

目前，人们对基于内容的图像检索(CBIR)的各个方面进行了大量的研究，而搜索引擎是其中最重要的组成部分之一。本文根据检索和匹配技术的目的，介绍了目前CBIR中最先进的技术。我们要解决的问题是分析搜索引擎，减少“语义差距”。比较了这些匹配方法对不同用户目标的适用性。最后，我们将我们的搜索引擎与Google和SIFT方法进行了比较。

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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How to compare search engines in CBIR?

At present a great deal of research is being done in different aspects of Content-Based Image Retrieval (CBIR) of which the search engine is one of the most important elements. In this paper we cover the state-of-the-art techniques in CBIR according to the aims of retrieval and matching techniques. The issue we address is the analysis of search engines reducing the `semantic gap'. The matching methods are compared in terms of their usefulness for different user's aims. Finally, we compare our search engine with Google's and the SIFT method.

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2016 SAI Computing Conference (SAI)

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