AutoAlbum: Clustering Digital Photographs using Probabilistic Model Merging

  • Authors:
  • John C. Platt

  • Affiliations:
  • -

  • Venue:
  • CBAIVL '00 Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'00)
  • Year:
  • 2000

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Abstract

Consumers need help finding digital photographs in their personal collections. AutoAlbum helps users find their photos by automatically clustering photos into albums. The albums are presented in an easy-to-use browsing user interface. AutoAlbum uses the time and order of photo creation to assist in clustering: albums consist of temporally contiguous photos. The content-based clustering algorithm is best-first probabilistic model merging, which is fast and yields clusters that are often semantically meaningful.