Abstract
Visual appearance of landmark photos changes significantly in different weather conditions. In this work, we obtain weather information from a weather forecast website based on a landmark photo’s geotag and taken time information. With weather information, we adaptively adjust weightings for combining distances obtained based on different features and thus propose a weather-adaptive distance measure for landmark photo classification. We verify the effectiveness of this idea, and accomplish one of the early attempts to develop a landmark photo classification system that resists to weather changes.
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Notes
- 1.
Weather Underground, http://www.wunderground.com/.
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Acknowledgements
The work was partially supported by the Ministry of Science and Technology in Taiwan under the grant MOST103-2221-E-194-027-MY3.
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Ding, DS., Chu, WT. (2015). Weather-Adaptive Distance Metric for Landmark Image Classification. In: Ho, YS., Sang, J., Ro, Y., Kim, J., Wu, F. (eds) Advances in Multimedia Information Processing -- PCM 2015. PCM 2015. Lecture Notes in Computer Science(), vol 9315. Springer, Cham. https://doi.org/10.1007/978-3-319-24078-7_14
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DOI: https://doi.org/10.1007/978-3-319-24078-7_14
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