Incremental Statistical Geo-Temporal Structuring of a Personal Camera Phone Image Collection

  • Authors:
  • A. Pigeau;M. Gelgon

  • Affiliations:
  • Nantes university, France;Nantes university, France

  • Venue:
  • ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
  • Year:
  • 2004

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Abstract

This paper makes a proposal for automatically organizing the personal image collection that would be collected from a mobile phone equipped with a digital camera. Doing so, it attempts to address emerging needs from this rapidly developping device family. Having sketched user needs, we underline the interest of temporal and spatial meta-data in the chosen context. Collection organization is then formulated as an unsupervised classification problem, in both space and time. A criterion and an estimation procedure are proposed, based on the statistical integrated completed likelihood criterion, providing effective solutions to model complexity determination, non-Gaussianity of clusters, and incrementality. For further summarization, a technique for fusing the temporal and geolocation-based partitions is finally put forward, to ease browsing of the image collection along a single dimension.