• DocumentCode
    70918
  • Title

    Cross-Platform Social Event Detection

  • Author

    Zaharieva, Maia ; Del Fabro, Manfred ; Zeppelzauer, Matthias

  • Author_Institution
    Univ. of Vienna, Vienna, Austria
  • Volume
    22
  • Issue
    3
  • fYear
    2015
  • fDate
    July-Sept. 2015
  • Firstpage
    14
  • Lastpage
    25
  • Abstract
    A large part of media shared on online platforms such as Flickr and YouTube is captured at various social events (such as music festivals, exhibitions, and sport events). While it is quite easy to share personal impressions online, it is much more challenging to identify content that is related to the same social event across different platforms. Here, the authors focus on the detection of social events in a data collection from Flickr and YouTube. They propose an unsupervised, multistaged approach that explores commonly available, real-world metadata for the detection and linking of social events across sharing platforms. The proposed methodology and the performed experiments allow for a thorough evaluation of the usefulness of available metadata in the context of social event detection in both single- and cross-platform scenarios. This article is part of a special issue on social multimedia and storytelling.
  • Keywords
    social networking (online); unsupervised learning; Flickr online platforms; YouTube online platforms; cross-platform social event detection; data collection; real-world metadata; sharing platforms; social multimedia; storytelling; unsupervised multistaged approach; Event detection; Media; Metadata; Multimedia communication; Social network services; Videos; YouTube; Internet/Web technologies; big data; cluster; cross-platform media analysis; data analysis; social event detection; social multimedia;
  • fLanguage
    English
  • Journal_Title
    MultiMedia, IEEE
  • Publisher
    ieee
  • ISSN
    1070-986X
  • Type

    jour

  • DOI
    10.1109/MMUL.2015.31
  • Filename
    7045414