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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier83LX3pFwXQZeBBx/gsAUJ
Repositorydpi.inpe.br/banon/1999/03.15.17.35
Last Update1999:03.15.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2001/03.30.15.54.25
Metadata Last Update2022:05.18.22.23.07 (UTC) administrator
Citation KeyMathiasConc:1997:PeImBa
TitlePesquisa de imagens em banco de dados por semelhança de cor
Year1997
Access Date2024, May 03
Number of Files1
Size63 KiB
2. Context
Author1 Mathias, Everest
2 Conci, Aura
EditorFigueiredo, Luiz Henrique de
Netto, Marcio Lobo
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 10 (SIBGRAPI)
Conference LocationCampos de Jordão, SP, Brazil
DateOct. 1997
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
OrganizationSBC - Sociedade Brasileira de Computação; USP - Universidade de São Paulo
History (UTC)2008-07-17 14:17:54 :: administrator -> banon ::
2008-08-26 15:26:27 :: banon -> administrator ::
2009-08-13 20:36:00 :: administrator -> banon ::
2010-08-28 20:04:46 :: banon -> administrator ::
2022-05-18 22:23:07 :: administrator -> :: 1997
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
AbstractIn 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.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 1997 > Pesquisa de imagens...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/83LX3pFwXQZeBBx/gsAUJ
zipped data URLhttp://urlib.net/zip/83LX3pFwXQZeBBx/gsAUJ
Target Fileand15.pdf
User Groupadministrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46RL7SS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.08.23.46 7
sid.inpe.br/banon/2001/03.30.15.38.24 1
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
NotesThe conference was held in Campos de Jordão, SP, Brazil, from October 13 to 16.
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