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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3DJ56M2
Repositorysid.inpe.br/sibgrapi/2013/02.17.00.00
Last Update2013:02.17.00.00.25 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2013/02.17.00.00.25
Metadata Last Update2022:06.17.21.39.27 (UTC) administrator
ISBN978-85-7669-273-7
Citation KeyMouraAlca:1995:CoImQu
TitleCompressão de imagens através de quantização vetorial classificada e predição de médias
FormatImpresso, On-line.
Year1995
Access Date2024, Apr. 29
Number of Files1
Size5035 KiB
2. Context
Author1 Moura, José Eduardo Alves de
2 Alcaim, Abraham
Affiliation1 CETUC- Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio)
2 CETUC- Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio)
EditorLotufo, Roberto de Alencar
Mascarenhas, Nelson Delfino d'Ávila
e-Mail Addresscintiagraziele.silva@gmail.com
Conference NameSimpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 8 (SIBGRAPI)
Conference LocationSão Carlos, SP, Brazil
Date25-27 Oct. 1995
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Pages73-78
Book TitleAnais
Tertiary TypeArtigo
History (UTC)2013-02-17 00:00:25 :: cintiagraziele.silva@gmail.com -> administrator ::
2022-06-17 21:39:27 :: administrator -> cintiagraziele.silva@gmail.com :: 1995
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordscompressão de imagens
quantização vetorial
predição de médias
AbstractIn this paper we present an image compression technique which employs classified vector quantization and mean prediction. We describe a perceptual block classification algorithm with reduced computational complexity which determines the class for each image block. The block is then encoded with a vector quantization and mean prediction. We described a perceptual block classification algorithm with reduced computational complexity which determines the class for each image block. The block is then encoded with a vector quantizer designed specifically for that class. Mean prediction is used to improve the performance of smooth areas of the image at low bit rates. In this case a residual vector quantizer is employed. Run-length coding are used to reduce the bit rate required to encode the side information.
TypeCompressão de Imagens
Arrangement 1urlib.net > SDLA > Fonds > Full Index > Compressão de imagens...
Arrangement 2urlib.net > SDLA > Fonds > SIBGRAPI 1995 > Sumário > Compressão de imagens...
Arrangement 3urlib.net > SDLA > Fonds > SIBGRAPI 1995 > Sumário > Índice > Compressão de imagens...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3DJ56M2
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3DJ56M2
Languagept
Target File9 Compressao de imagens.pdf
User Groupcintiagraziele.silva@gmail.com
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/sibgrapi@80/2007/08.02.16.22
Next Higher Units8JMKD3MGPEW34M/4742MCS
8JMKD3MGPBW34M/3DKGHN2
8JMKD3MGPBW34M/3DL29P8
Citing Item Listsid.inpe.br/sibgrapi/2013/02.25.18.00 1
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition electronicmailaddress group issn label lineage mark nextedition notes numberofvolumes orcid organization parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark url versiontype volume
7. Description control
e-Mail (login)cintiagraziele.silva@gmail.com
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