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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZG2LgkFdY/V7qxt
Repositorysid.inpe.br/sibgrapi@80/2008/08.10.06.47
Last Update2008:08.10.06.47.51 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi@80/2008/08.10.06.47.52
Metadata Last Update2022:06.14.00.13.53 (UTC) administrator
DOI10.1109/SIBGRAPI.2008.22
Citation KeyFloresLotu:2008:BeQuEv
TitleBenchmark for Quantitative Evaluation of Assisted Object Segmentation Methods to Image Sequences
FormatPrinted, On-line.
Year2008
Access Date2024, May 02
Number of Files1
Size475 KiB
2. Context
Author1 Flores, Franklin César
2 Lotufo, Roberto de Alencar
Affiliation1 State University of Maringá
2 University of Campinas
EditorJung, Cláudio Rosito
Walter, Marcelo
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 21 (SIBGRAPI)
Conference LocationCampo Grande, MS, Brazil
Date12-15 Oct. 2008
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2008-08-10 06:47:52 :: fcflores@din.uem.br -> administrator ::
2009-08-13 20:39:04 :: administrator -> fcflores@din.uem.br ::
2010-08-28 20:03:24 :: fcflores@din.uem.br -> administrator ::
2022-06-14 00:13:53 :: administrator -> :: 2008
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordssegmentation of objects in image sequences
assessment of video segmentation
AbstractEvaluation of segmentation methods applied to image sequences consists in the analysis of such methods according to quantitative and/or qualitative criteria, usually driven to some application. Literature proposes several metrics for quantitative evaluation of object segmentation methods to image sequences, but it is still considered an open problem, since no one of the proposed metrics is considered the standard one. More, as the best of our knowledge, there is no method in literature that does computational quantitative evaluation of assisted methods to object segmentation in image sequence. This paper introduces a benchmark to do such quantitative evaluation. This evaluation is done according to several criteria such as the robustness of segmentation and the easiness to segment the objects through the sequence. Experimental results also evaluates the robustness of the watershed from propagated markers technique.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2008 > Benchmark for Quantitative...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Benchmark for Quantitative...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/V7qxt
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/V7qxt
Languageen
Target Fileflores_lotufo_sibgrapi08.pdf
User Groupfcflores@din.uem.br
administrator
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/46SG4TH
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.14.04.55 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 e-mailaddress 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 volume


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