Paper Info
Title
A Study on the Tourism Features Extraction from Photos in a Tourism Website by Image Analysis
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.
Year
DOI
Venue
2019
10.1109/ICAwST.2019.8923581
2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)
Keywords
Field
DocType
Feature Extraction,Tourism Analysis,Image Analysis,Classification Method,Tourism Recommendation
Information retrieval,Effective method,Computer science,Tourism,Filter (signal processing),Feature extraction
Conference
ISSN
ISBN
Citations 
2325-5986
978-1-7281-3822-0
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Shuang Li14814.14
Jun Sasaki255.51