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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/386EFSS
Repositorysid.inpe.br/sibgrapi/2010/08.29.22.34
Last Update2010:08.29.22.34.00 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2010/08.29.22.34.01
Metadata Last Update2022:06.14.00.06.53 (UTC) administrator
DOI10.1109/SIBGRAPI.2010.39
Citation KeyBraynerWalt:2010:CoSyTe
TitleCompression of Synthesized Textures
FormatPrinted, On-line.
Year2010
Access Date2024, May 03
Number of Files1
Size1214 KiB
2. Context
Author1 Brayner, Fernando Leal
2 Walter, Marcelo
Affiliation1 UFPE
2 UFRGS
EditorBellon, Olga
Esperança, Claudio
e-Mail Addressmarcelo.walter@gmail.com
Conference NameConference on Graphics, Patterns and Images, 23 (SIBGRAPI)
Conference LocationGramado, RS, Brazil
Date30 Aug.-3 Sep. 2010
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2010-10-01 04:19:38 :: marcelo.walter@gmail.com -> administrator :: 2010
2022-06-14 00:06:53 :: administrator -> :: 2010
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordstexture compression
texture synthesis
AbstractIn spite of graphics hardware advancements, graphics memory is still a scarce resource for usual applications. Besides, for most raster-based applications, the available bandwidth is one important limiting factor for increasing performance in the system. Texture compression addresses both of these problems. We introduce a new technique for compression of textures synthesized from samples. The compressed texture stores the sample plus encoded data, gathered during synthesis, which enables real-time decompression of large textures. With this scheme we are able to achieve high compression rates. Our solution explores a spectrum of textures where general texture compression schemes achieve less than optimal compression rates. These are usually textures with repeating patterns, regular or near-regular ones, and stochastic ones, the exactly types of textures where texture synthesis algorithms perform well. We also present analytical formulae for our compression scheme that allows an exact computation of compression rates achieved.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2010 > Compression of Synthesized...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Compression of Synthesized...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/386EFSS
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/386EFSS
Languageen
Target Filebrayner-walter.pdf
User Groupmarcelo.walter@gmail.com
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46SJT6B
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.14.20.21 6
sid.inpe.br/sibgrapi/2022/06.10.21.49 3
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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