1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPBW34M/3869J8L |
Repository | sid.inpe.br/sibgrapi/2010/08.28.19.42 |
Last Update | 2010:08.28.19.42.10 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2010/08.28.19.42.10 |
Metadata Last Update | 2022:06.14.00.06.51 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2010.30 |
Citation Key | SpinaFalc:2010:InUnUs |
Title | Intelligent understanding of user input applied to arc-weight estimation for graph-based foreground segmentation |
Format | Printed, On-line. |
Year | 2010 |
Access Date | 2024, May 04 |
Number of Files | 1 |
Size | 737 KiB |
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2. Context | |
Author | 1 Spina, Thiago Vallin 2 Falcão, Alexandre Xavier |
Affiliation | 1 Institute of Computing - University of Campinas 2 Institute of Computing - University of Campinas |
Editor | Bellon, Olga Esperança, Claudio |
e-Mail Address | tvspina@liv.ic.unicamp.br |
Conference Name | Conference on Graphics, Patterns and Images, 23 (SIBGRAPI) |
Conference Location | Gramado, RS, Brazil |
Date | 30 Aug.-3 Sep. 2010 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2010-10-01 04:19:37 :: tvspina@liv.ic.unicamp.br -> administrator :: 2010 2022-06-14 00:06:51 :: administrator -> :: 2010 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
Keywords | graph-based image segmentation intelligent arc-weight estimation image foresting transform fuzzy supervised classification clustering multiscale image filtering |
Abstract | We present an intelligent approach for understanding user interaction to simplify the interface of graph-based image segmentation. The user draws a set of markers (strokes) over the object and the background, and our method automatically determines a subset of these pixels with dissimilar image properties for arc-weight estimation. Arc-weight estimation combines object information learned from the set of selected pixels with image information, to make object delineation more effective. Our method differs from approaches that recompute the arc weights carelessly during delineation, by further interpreting user interaction to determine when and where to recompute them. Furthermore, we build our framework around the image foresting transform (IFT), by taking advantage of its operators for supervised fuzzy classification, clustering, and object delineation. We evaluate our framework using a dataset with 50 natural images and by comparing it against another recent IFT-based method, which computes arc weights in a separated step of user interaction for more effective segmentation. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2010 > Intelligent understanding of... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Intelligent understanding of... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPBW34M/3869J8L |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW34M/3869J8L |
Language | en |
Target File | PID1393191.pdf |
User Group | tvspina@liv.ic.unicamp.br |
Visibility | shown |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPEW34M/46SJT6B 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/05.14.20.21 6 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy 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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