Weather-Adaptive Distance Metric for Landmark Image Classification

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.