Conference Paper

Event-Based Analysis of People's Activities and Behavior Using Flickr and Panoramio Geotagged Photo Collections

Univ. of Konstanz, Konstanz, Germany
DOI: 10.1109/IV.2010.94 Conference: 14th International Conference on Information Visualisation, IV 2010, 26-29 July 2010, London, UK
Source: DBLP


Photo-sharing websites such as Flickr and Panoramio contain millions of geotagged images contributed by people from all over the world. Characteristics of these data pose new challenges in the domain of spatio-temporal analysis. In this paper, we define several different tasks related to analysis of attractive places, points of interest and comparison of behavioral patterns of different user communities on geotagged photo data. We perform analysis and comparison of temporal events, rankings of sightseeing places in a city, and study mobility of people using geotagged photos. We take a systematic approach to accomplish these tasks by applying scalable computational techniques, using statistical and data mining algorithms, combined with interactive geo-visualization. We provide exploratory visual analysis environment, which allows the analyst to detect spatial and temporal patterns and extract additional knowledge from large geotagged photo collections. We demonstrate our approach by applying the methods to several regions in the world.

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    • "For instance, Li and Goodchild (2012) studied point patterns of georeferenced Flickr imagery in conjunction with toponyms in their metadata to identify places through user references to them. Other efforts attempt to recognize activity and behavioral patterns by analyzing these spatiotemporal points of geotagged entries, such as identifying attractive destinations (Kisilevich et al. 2010) or constructing travel itineraries (De Choudhury et al. 2010). Despite these efforts, the multimedia content of social media remains underexplored. "
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