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A Classification Method of Photos in a Tourism Website by Color Analysis

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11606))

Abstract

The number of Foreign Independent Tour (FIT) is increasing in the world. This research aims to develop a personal adaptive tourism recommendation system (PATRS) for FIT. This paper describes the concept of PATRS and related researches. In order to develop the PATRS, an easy feature extraction method from a tourism website is required. The classification of photos of tourism spots is an important technology to realize the feature extraction from numerous information in the website. This paper proposes a classification method of photos in a major tourism website by color analysis. From the results on the experiments, we confirmed that the photos in a tourism website can be classified into four classes by the proposed method.

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Acknowledgements

We would like to thank I-O DATA Foundation and the financing of project TIN2016-75850-R from the FEDER Funds for support of this research.

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Correspondence to Jun Sasaki .

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Sasaki, J., Li, S., Herrera-Viedma, E. (2019). A Classification Method of Photos in a Tourism Website by Color Analysis. In: Wotawa, F., Friedrich, G., Pill, I., Koitz-Hristov, R., Ali, M. (eds) Advances and Trends in Artificial Intelligence. From Theory to Practice. IEA/AIE 2019. Lecture Notes in Computer Science(), vol 11606. Springer, Cham. https://doi.org/10.1007/978-3-030-22999-3_24

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  • DOI: https://doi.org/10.1007/978-3-030-22999-3_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-22998-6

  • Online ISBN: 978-3-030-22999-3

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