From context to content: leveraging context to infer media metadata

  • Authors:

  • Marc Davis;Simon King;Nathan Good;Risto Sarvas

  • Affiliations:

  • University of California at Berkeley, Berkeley, CA;University of California at Berkeley, Berkeley, CA;University of California at Berkeley, Berkeley, CA;Helsinki Institute for Information Technology (HIIT), HUT, Finland

  • Venue:
  • Proceedings of the 12th annual ACM international conference on Multimedia
  • Year:
  • 2004

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Abstract

The recent popularity of mobile camera phones allows for new opportunities to gather important metadata at the point of capture. This paper describes a method for generating metadata for photos using spatial, temporal, and social context. We describe a system we implemented for inferring location information for pictures taken with camera phones and its performance evaluation. We propose that leveraging contextual metadata at the point of capture can address the problems of the semantic and sensory gaps. In particular, combining and sharing spatial, temporal, and social contextual metadata from a given user and across users allows us to make inferences about media content.