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Classification of tourism categories based on heterogeneous features considering existence of reliable results
Author(s): Naoki Saito; Takahiro Ogawa; Satoshi Asamizu; Miki Haseyama
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Paper Abstract

This paper presents a classification method of tourism categories based on heterogeneous features considering existence of reliable results. The proposed method performs estimation of existence of reliable results based on one-versus-one scheme from three kinds of classification results obtained from tourism images, geotags and textual tags, separately. Then if the reliable result is included in the above results, this result is regarded as a final result. Otherwise, the final result is obtained by the multiple annotator logistic regression. The proposed method realizes accurate classification by estimating the existence of reliable results from more than two kinds of results.

Paper Details

Date Published: 22 March 2019
PDF: 6 pages
Proc. SPIE 11049, International Workshop on Advanced Image Technology (IWAIT) 2019, 1104905 (22 March 2019); doi: 10.1117/12.2521056
Show Author Affiliations
Naoki Saito, Hokkaido Univ. (Japan)
Takahiro Ogawa, Hokkaido Univ. (Japan)
Satoshi Asamizu, National Institute of Technology, Kushiro College (Japan)
Miki Haseyama, Hokkaido Univ. (Japan)


Published in SPIE Proceedings Vol. 11049:
International Workshop on Advanced Image Technology (IWAIT) 2019
Qian Kemao; Kazuya Hayase; Phooi Yee Lau; Wen-Nung Lie; Yung-Lyul Lee; Sanun Srisuk; Lu Yu, Editor(s)

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