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Image retrieval by color regions

  • A. Del Bimbo
  • M. Mugnaini
  • P. Pala
  • F. Turco
  • L. Verzucoli
Poster Session C: Compression, Hardware & Software, Image Databases, Neural Networks, Object Recognition & Reconstruction
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1311)

Abstract

The minor expressiveness of text with respect to visual features doesn't allow to fully exploit capabilities of human memory. For this reason retrieval based on visual contents has been identified as the means to provide an effective retrieval. The relative relevance of visual elements depends on user's subjectivity (which is not known in advance) and on the context of application. To cope with this problem, the description of image visual contents should exploit different levels of detail in image representation. In the following we present the PICASSO system, which supports image indexing and retrieval based on shapes, colors, and spatial relationships. The system exploits a pyramidal representation of the images which are analyzed at different levels of resolution. Multiple descriptions of image properties are created at different levels of resolution thus allowing effective retrieval through specific queries as well as imprecise ones. Retrieval results for a sample database of pictorial images are reported, with efficiency and effectiveness measures.

Keywords

Image Retrieval Color Region Effective Retrieval Image Energy Query Region 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • A. Del Bimbo
    • 1
  • M. Mugnaini
    • 1
  • P. Pala
    • 1
  • F. Turco
    • 1
  • L. Verzucoli
    • 1
  1. 1.Dipartimento di Sistemi e InformaticaUniversith di FirenzeFirenzeItaly

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