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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3M8CGEE
Repositorysid.inpe.br/sibgrapi/2016/08.08.18.29
Last Update2016:08.08.18.29.09 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2016/08.08.18.29.09
Metadata Last Update2022:05.18.22.21.06 (UTC) administrator
Citation KeySpinaFalc:2016:InSeOb
TitleInteractive Segmentation of Objects in Images and Videos using Graphs and Fuzzy Models of Content Knowledge
FormatOn-line
Year2016
Access Date2024, Apr. 29
Number of Files1
Size3232 KiB
2. Context
Author1 Spina, Thiago Vallin
2 Falcão, Alexandre Xavier
Affiliation1 Institute of Computing - University of Campinas
2 Institute of Computing - University of Campinas
EditorAliaga, Daniel G.
Davis, Larry S.
Farias, Ricardo C.
Fernandes, Leandro A. F.
Gibson, Stuart J.
Giraldi, Gilson A.
Gois, João Paulo
Maciel, Anderson
Menotti, David
Miranda, Paulo A. V.
Musse, Soraia
Namikawa, Laercio
Pamplona, Mauricio
Papa, João Paulo
Santos, Jefersson dos
Schwartz, William Robson
Thomaz, Carlos E.
e-Mail Addresstvspina@ic.unicamp.br
Conference NameConference on Graphics, Patterns and Images, 29 (SIBGRAPI)
Conference LocationSão José dos Campos, SP, Brazil
Date4-7 Oct. 2016
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeMaster's or Doctoral Work
History (UTC)2016-08-08 18:29:09 :: tvspina@ic.unicamp.br -> administrator ::
2022-05-18 22:21:06 :: administrator -> :: 2016
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
KeywordsInteractive image and video segmentation
graph-based image processing
fuzzy object models
object tracking
pose estimation
AbstractInteractive segmentation is often necessary for image and video editing applications, which demand for effective and efficient methods capable of aiding the user to accurately extract objects of interest from the background with minimum involvement. The main goal is to place those objects on to new target images and videos, thereby avoiding the need to use green screens to acquire the footage. In this PhD research, we have devised methods that may be used by amateurs and professionals alike for interactive image and video segmentation, aiming to minimize the users effort and time required to obtain an accurate result. In particular, we have developed two methods for interactive image segmentation, and one for interactive video segmentation that outperforms/competes with a state-of- the-art commercial software. Our methods have also aided in interdisciplinary research with Geology, Psychology/Psychiatry (body pose estimation for early Autism assessment), and 3D medical imaging.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2016 > Interactive Segmentation of...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3M8CGEE
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3M8CGEE
Languageen
Target Filetvspina-phd-thesis-WTD.pdf
User Grouptvspina@ic.unicamp.br
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3M2D4LP
Citing Item Listsid.inpe.br/sibgrapi/2016/07.02.23.50 7
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi edition electronicmailaddress group isbn issn label lineage mark 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 versiontype volume


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