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Semantically Enhancing Multimedia Lifelog Events

  • Peng Wang
  • Alan Smeaton
  • Alessandra Mileo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8879)

Abstract

Lifelogging is the digital recording of our everyday behaviour in order to identify human activities and build applications that support daily life. Lifelogs represent a unique form of personal multimedia content in that they are temporal, synchronised, multi-modal and composed of multiple media. Analysing lifelogs with a view to supporting content-based access, presents many challenges. These include the integration of heterogeneous input streams from different sensors, structuring a lifelog into events, representing events, and interpreting and understanding lifelogs. In this paper we demonstrate the potential of semantic web technologies for analysing lifelogs by automatically augmenting descriptions of lifelog events. We report on experiments and demonstrate how our results yield rich descriptions of multi-modal, multimedia lifelog content, opening up even greater possibilities for managing and using lifelogs.

Keywords

lifelogs events semantic web semantic enhancement 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Peng Wang
    • 1
  • Alan Smeaton
    • 2
  • Alessandra Mileo
    • 3
  1. 1.Beijing Institute of System EngineeringBeijingP.R. China
  2. 2.Insight Centre for Data AnalyticsDublin City UniversityDublin 9Ireland
  3. 3.Insight Centre for Data AnalyticsNational University of IrelandGalwayIreland

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