Semantic based image retrieval: a probabilistic approach

  • Authors:
  • Ben Bradshaw

  • Affiliations:
  • Microsoft Research, St. George House, 1 Guildhall St., Cambridge, England

  • Venue:
  • MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
  • Year:
  • 2000

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Abstract

This paper describes an approach to image retrieval based on the underlying semantics of images. To extract these semantics a hierarchical, probabilistic approach is proposed. The labels that are extracted in this case are man-made, natural, inside and outside. The hierarchical framework combines class likelihood probability estimates across a number of levels to form a posterior estimate of the probability of class membership. Unlike previous work in this field, the proposed algorithm can determine probabilities at any point in the scene and only a small number of images are required to train the system. To illustrate the potential of such an approach a prototype image retrieval system has been developed, initial results from this system are given in this paper.