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

Abstract

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.

Exploratory analysis of OpenStreetMap for land use classification

“…Special "geo" tags are also available to store latitude and longitude values, automatically retrieved from smartphones, making them a source of geographical data [9]. In 2010 Kisilevich et al downloaded a total of 86,314,466 geotagged photos from Flickr initiative to study peoples' activities [13]. A set of tools allowing the non-professional user to integrate their data have been developed by the Centre for Advanced Spatial Analysis (CASA).…”

Big (Geo)Data en Ciencias Sociales: Retos y Oportunidades

“…Los servicios de fotografías compartidas han sido utilizados para identificar los principales puntos de atracción turística y la intensidad de uso de los mismos (Popescu et al, 2009;Kisilevich et al, 2010;Gavric et al, 2011;Straumann et al, 2014 …”

Towards (Re)Constructing Narratives from Georeferenced Photographs through Visual Analytics

“…Doan et al, 2012) and many more tasks that are geared towards discovering spatio-temporal patterns in this kind of data (e.g. Jaffe et al, 2006;Andrienko et al, 2009;Kisilevich et al, 2010;Ç öltekin et al, 2011;Naaman, 2011).…”

“…Joh et al, 2002;Kisilevich et al, 2010;Andrienko et al, 2011;Vrotsou et al, 2011). However, these approaches usually rely on a movingwindow in time to construct trajectories.…”