城市街道图像地理标记的空间视觉局部性研究

2021 IEEE 4th International Conference on Multimedia Information Processing and Retrieval (MIPR) Pub Date : 2021-09-01 DOI:10.1109/MIPR51284.2021.00023

Abdullah Alfarrarjeh, Xiao Yang, A. A. Jabal, S. H. Kim, C. Shahabi

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引用次数: 0

摘要

城市街道图像具有独特的属性，因为它们捕捉到与地理区域不同的视觉场景。这些图像与邻近的图像相似，而与远处的图像不同。我们将图像的这种特征称为空间视觉局部性或相似视觉特征的空间局部性。本研究以地理标记的城市街道图像为研究对象，假设这些图像在某一区域表现出局部相似性，但在不同区域表现出不相似性，并提供不同的分析方法来验证这一假设。本文还使用从谷歌街景中收集的三张真实的地理标记街道图像来评估假设的正确性。我们的实验结果表明，在城市街道图像中，相似的视觉特征具有很高的局部性。

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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Exploring the Spatial-Visual Locality of Geo-tagged Urban Street Images

Urban street images have a unique property as they capture visual scenes that are distinctive to their geo-graphical regions. Such images are similar to their neighboring ones while dissimilar to faraway images. We refer to this characteristic of images as the spatial visual locality or the spatial locality of similar visual features. This study focuses on geo-tagged urban street images and hypothesizes that those images demonstrate a local similarity in a certain region but a dissimilarity across different regions, and provides different analysis methods to validate the hypothesis. The paper also evaluates the correctness of the hypothesis using three real geo-tagged street images collected from the Google Street View. Our experimental results demonstrate a high locality of similar visual features among urban street images.

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2021 IEEE 4th International Conference on Multimedia Information Processing and Retrieval (MIPR)

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