A Combination of Spatial Pyramid and Inverted Index for Large-Scale Image Retrieval
A Combination of Spatial Pyramid and Inverted Index for Large-Scale Image Retrieval
复制标题
空间金字塔与倒排索引相结合的大规模图像检索
DOI：
10.4018/ijmdem.2015040103
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
D. Duong
中科院分区：
文献类型：
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作者：
Vinh;T. Ngo;M. Tran;Duy;D. Duong
大规模图像检索在实际应用中显示出巨大的潜力。标准的方法是基于倒排索引，给定的图像使用Bag-of-Words模型表示。然而，倒排索引和词袋呈现的一个主要局限性是它们在图像呈现和比较中忽略了视觉词的空间信息。结果，检索精度降低。本文研究了一种将空间信息集成到倒排索引中的方法，以提高检索精度，同时保持较短的检索时间。在Oxford Building 5 K、Oxford Building 5 K +100 K和巴黎6 K三个基准数据集上进行的实验证明了该方法的有效性。
Large-scale image retrieval has been shown remarkable potential in real-life applications. The standard approach is based on Inverted Indexing, given images are represented using Bag-of-Words model. However, one major limitation of both Inverted Index and Bag-of-Words presentation is that they ignore spatial information of visual words in image presentation and comparison. As a result, retrieval accuracy is decreased. In this paper, the authors investigate an approach to integrate spatial information into Inverted Index to improve accuracy while maintaining short retrieval time. Experiments conducted on several benchmark datasets Oxford Building 5K, Oxford Building 5K+100K and Paris 6K demonstrate the effectiveness of our proposed approach.
DOI：
10.1007/11744023_32
发表时间：
2006-01-01
期刊：
COMPUTER VISION - ECCV 2006 , PT 1, PROCEEDINGS
影响因子：
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作者：
Bay, Herbert;Tuytelaars, Tinne;Van Gool, Luc
通讯作者：
Van Gool, Luc