Blobworld: A System for Region-Based Image Indexing and Retrieval

  • Authors:
  • Chad Carson;Megan Thomas;Serge Belongie;Joseph M. Hellerstein;Jitendra Malik

  • Affiliations:
  • -;-;-;-;-

  • Venue:
  • VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
  • Year:
  • 1999

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Abstract

Blobworld is a system for image retrieval based on finding coherent image regions which roughly correspond to objects. Each image is automatically segmented into regions ("blobs") with associated color and texture descriptors. Queryingi s based on the attributes of one or two regions of interest, rather than a description of the entire image. In order to make large-scale retrieval feasible, we index the blob descriptions usinga tree. Because indexing in the high-dimensional feature space is computationally prohibitive, we use a lower-rank approximation to the high-dimensional distance. Experiments show encouraging results for both queryinga nd indexing.