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Event-based analysis of people's activities and behavior using Flickr and Panoramio geotagged photo collections

  • Slava Kisilevich
  • , Milos Krstajic
  • , Daniel Keim
  • , Natalia Andrienko
  • , Gennady Andrienko

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

100 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings - 2010 14th International Conference Information Visualisation, IV 2010
PublisherInstitute of Electrical and Electronics Engineers
Pages289-296
Number of pages8
ISBN (Print)9780769541655
DOIs
StatePublished - 1 Jan 2010
Externally publishedYes

Publication series

NameProceedings of the International Conference on Information Visualisation
ISSN (Print)1093-9547

Keywords

  • Clustering
  • Geo visual analytics
  • Geotagged images
  • Movement data
  • Spatio-temporal analysis

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition

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