Close

1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier83LX3pFwXQZ4BFjAq/jhcpV
Repositorydpi.inpe.br/vagner/1999/11.26.17.04
Last Update2000:01.03.02.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2001/03.30.15.57.56
Metadata Last Update2022:06.14.00.17.06 (UTC) administrator
DOI10.1109/SIBGRA.1999.805726
Citation KeyWei:1999:DeTeAn
TitleDeterministic texture analysis and synthesis using tree structure vector quantization
FormatOn-line
Year1999
Access Date2024, May 02
Number of Files3
Size520 KiB
2. Context
AuthorWei, Li-Yi
EditorStolfi, Jorge
Tozzi, Clésio Luis
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 12 (SIBGRAPI)
Conference LocationCampinas, SP, Brazil
Date17-20 Oct. 1999
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Pages207-213
Book TitleProceedings
Tertiary TypeFull Paper
OrganizationSBC - Brazilian Computer Society and UNICAMP - University of Campinas
History (UTC)2008-07-17 14:17:59 :: administrator -> banon ::
2008-08-26 15:23:57 :: banon -> administrator ::
2009-08-13 20:36:20 :: administrator -> banon ::
2010-08-28 20:04:54 :: banon -> administrator ::
2020-02-19 02:44:31 :: administrator -> banon :: 1999
2022-04-19 21:59:53 :: banon -> administrator :: 1999
2022-06-14 00:17:06 :: administrator -> :: 1999
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordstexture analysis
texture synthesis
image processing
AbstractTexture analysis and synthesis is very important for computer graphics, vision, and image processing. This paper describes an algorithm wich can produce new textures with a matching visual appearance from a given example image. Our algorithm is based on a model that characterizes textures using a nonlinear deterministic function. During analysis, an example texture is summarized into this function using tree strucuture vector quantization. An output texture, initially random noise, is then synthesized from this estimated function. Compared to existing approaches, our algorithm can efficiently generate a wide variety of textures. The effectiveness of our approach is demonstrated using standard test images from the Brodatz texture album.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 1999 > Deterministic texture analysis...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Deterministic texture analysis...
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/83LX3pFwXQZ4BFjAq/jhcpV
zipped data URLhttp://urlib.net/zip/83LX3pFwXQZ4BFjAq/jhcpV
Target File018-77969924.pdf
User Groupadministrator
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/46PDF8P
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/04.25.03.44 4
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
NotesThe conference was held in Campinas, SP, Brazil, from October 17 to 20.
Empty Fieldsaffiliation archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination e-mailaddress edition electronicmailaddress group isbn issn label language lineage mark nextedition numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


Close