Histogram families for color-based retrieval in image databases

  • Carlo Colombo
  • Alessandro Rizzi
  • Ivan Genovesi
Poster Session C: Compression, Hardware & Software, Image Database, Neural Networks, Object Recognition & Reconstruction
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1311)


A system for image representation and retrieval in a pictorial database using color distribution features is presented. Images are internally described and matched one against the other by means of a set of color histograms taking into account the local characteristics of chromatic image structure. A graphic environment allows the user to compose interactively pictorial queries by both color sketch and image examples. It is also possible to the user to exploit the history of previous queries to affect current system output. Experimental evidence relating system performance to human expectation is presented and discussed.


System Output Query Image Pictorial Content Previous Query Global Histogram 
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

  • Carlo Colombo
    • 1
  • Alessandro Rizzi
    • 1
  • Ivan Genovesi
    • 1
  1. 1.Dipartimento di Elettronica per l'AutomazioneUniversitá di BresciaBresciaItaly

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