@InProceedings{MathiasConc:1997:PeImBa,
author = "Mathias, Everest and Conci, Aura",
title = "Pesquisa de imagens em banco de dados por semelhan{\c{c}}a de
cor",
booktitle = "Proceedings...",
year = "1997",
editor = "Figueiredo, Luiz Henrique de and Netto, Marcio Lobo",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 10.
(SIBGRAPI)",
publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
address = "Porto Alegre",
note = "The conference was held in Campos de Jord{\~a}o, SP, Brazil, from
October 13 to 16.",
abstract = "In image retrieval based on their color content, the distance
between color histograms may be defined as a match measure.
However, this measure operates on high dimensional space and is
computionally expensive, function of the number of color. Moreover
retrieval by color similarity, given a used-sampled image, is
particularly challenging, owing to the difficulty to derive a
measure that conforms the human perception. The degree of matching
achieved on image querying depends on, at least: (1) the number of
histogram bins used, (2) the underlying color space and (3) the
metric used for histogram matching. This paper describes three
different approaches for solving the querying by color similarity
problem. Examples from a prototype system illustrate the
effectiveness of each approach.",
conference-location = "Campos de Jord{\~a}o, SP, Brazil",
conference-year = "Oct. 1997",
organisation = "SBC - Sociedade Brasileira de Computa{\c{c}}{\~a}o; USP -
Universidade de S{\~a}o Paulo",
ibi = "83LX3pFwXQZeBBx/gsAUJ",
url = "http://urlib.net/ibi/83LX3pFwXQZeBBx/gsAUJ",
targetfile = "and15.pdf",
urlaccessdate = "2024, May 03"
}