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

Conference Paper · July 2010with45 Reads
DOI: 10.1109/IV.2010.94 · Source: DBLP
Conference: 14th International Conference on Information Visualisation, IV 2010, 26-29 July 2010, London, UK
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.
    • "Visitor's photographs have been employed together with interview by previous studies on landscape and nature perception, proving a suitable way to analyse different environmental aspects which may attract visitors (Dorwart et al., 2009; Taylor et al., 1995). The analysis of photoseries from platforms such as Flickr and Panoramio has already been shown to be a suitable proxy for the empirical estimation of visiting frequency (Da Rugna et al., 2012; Kisilevich et al., 2010; Produit et al., 2014; Sun et al., 2013; Wood et al., 2013). More recently online photo libraries have been used to assess CES (Allan et al., 2015; Arkema et al., 2015; Casalegno et al., 2013; Martínez Pastur et al., 2015; Keeler et al., 2015; Nahuelhual et al., 2013; Richards and Friess, 2015; Willemen et al., 2015). "
    [Show abstract] [Hide abstract] ABSTRACT: Integrating cultural dimensions into the ecosystem service framework is essential for appraising non-material benefits stemming from different human–environment interactions. This study investigates how the actual provision of cultural services is distributed across the landscape according to spatially varying relationships. The final aim was to analyse how landscape settings are associated to people's preferences and perceptions related to cultural ecosystem services in mountain landscapes. We demonstrated a spatially explicit method based on geo-tagged images from popular social media to assess revealed preferences. A spatially weighted regression showed that specific variables correspond to prominent drivers of cultural ecosystem services at the local scale. The results of this explanatory approach can be used to integrate the cultural service dimension into land planning by taking into account specific benefiting areas and by setting priorities on the ecosystems and landscape characteristics which affect the service supply. We finally concluded that the use of crowdsourced data allows identifying spatial patterns of cultural ecosystem service preferences and their association with landscape settings.
    Full-text · Article · May 2016
    • "More and more photo and video data has geo-tag information. Geo-tagged Flickr data has been used to explore users' trajectories , interest, and participated events [1, 10] . Structuring these geo-tagged photo and video data for analysis is challenging because of different levels of understanding, such as concepts, topics, semantics. "
    Conference Paper · Jan 2016 · Ecological Indicators
    • "Visitor's photographs have been employed together with interview by previous studies on landscape and nature perception, proving a suitable way to analyse different environmental aspects which may attract visitors (Dorwart et al., 2009;Taylor et al., 1995). The analysis of photoseries from platforms such as Flickr and Panoramio has already been shown to be a suitable proxy for the empirical estimation of visiting frequency (Da Rugna et al., 2012;Kisilevich et al., 2010;Produit et al., 2014;Sun et al., 2013;Wood et al., 2013). More recently online photo libraries have been used to assess CES (Allan et al., 2015;Arkema et al., 2015;Casalegno et al., 2013;Martínez Pastur et al., 2015;Keeler et al., 2015;Nahuelhual et al., 2013;Richards and Friess, 2015;Willemen et al., 2015). "
    [Show abstract] [Hide abstract] ABSTRACT: The realization for the growing demand for cultural services (CS) calls for methods to identify and quantify them in order to plan for the provision of such services. Assessing revealed preferences of CS is challenging, especially when considering the spatial dimension needed for planning at the regional level. Most of the current studies on CS are based on socio-economic data or specific surveys which are collected on a declarative basis. Spatially explicit data on location for nearby recreation are especially difficult to obtain. The analysis of photo series and data mining from social media can be used as a surrogate of interviews or surveys to assess recreation behavior, perception and preferences, assuming that visitors are attracted by the location where they take photographs. We will present a case study using Crowd-sourced information as a suitable proxy for the empirical estimation of visitation. The analysis of photo series is a pragmatic, cost effective way of gathering space-and time-referenced data on visitation which can be used to represent observed people preferences. The photos were analyzed in order to identify hotspots of service deliver and landscape properties which represented the major predictor of nearby recreation activities.
    Full-text · Conference Paper · Oct 2015 · Ecological Indicators
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