A Study on the Tourism Features Extraction from Photos in a Tourism Website by Image Analysis

Shuang Li, Jun Sasaki
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Abstract

For a foreign independent tour, it is difficult to find personally adaptive spots. Therefore, it is necessary to filter the tourism features of the tourist attractions that are suitable for a foreign independent tour. In this paper, we attempt to find an effective method to extract tourism features from photos on a tourism website. We propose a method to extract the subjects that can be regarded as tourism features. To determine the threshold value for the filtering of features, we conducted an experiment to extract tourism feature words. We also compared the results with our previous work, and the feasibility and limitations of the proposed method have been confirmed.
基于图像分析的旅游网站照片旅游特征提取研究
对于国外的自由行来说,很难找到适合自己的景点。因此,有必要对适合出国自助游的旅游景点的旅游特色进行筛选。本文试图寻找一种有效的方法从旅游网站的照片中提取旅游特征。我们提出了一种提取可视为旅游特征的主题的方法。为了确定特征过滤的阈值,我们进行了旅游特征词提取实验。我们还将结果与我们之前的工作进行了比较,证实了所提出方法的可行性和局限性。
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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