Close
Metadata

Reference TypeConference Proceedings
Identifier8JMKD3MGPBW34M/38699DS
Repositorysid.inpe.br/sibgrapi/2010/08.28.17.55
Metadatasid.inpe.br/sibgrapi/2010/08.28.17.55.22
Sitesibgrapi.sid.inpe.br
Citation KeyBrandoliElePauMinESB:2010:ViDaEx
Author1 Brandoli, Bruno
2 Eler, Danilo Medeiros
3 Paulovich, Fernando
4 Minghim, Rosane
5 ESB Neto, João do
Affiliation1 ICMC - University of São Paulo
2 ICMC - University of São Paulo
3 ICMC - University of São Paulo
4 ICMC - University of São Paulo
5 ICMC - University of São Paulo
TitleVisual Data Exploration to Feature Space Definition
Conference NameConference on Graphics, Patterns and Images, 23 (SIBGRAPI)
Year2010
EditorBellon, Olga
Esperança, Claudio
Book TitleProceedings
DateAug. 30 - Sep. 3, 2010
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationGramado
Keywordsisual Feature Space Analysis, Feature Space Visualization, Feature Space Evaluation, Visual Exploration.
AbstractABSTRACT: Many image-related applications rely on the fact that the dataset under investigation is correctly represented through features. However, defining a set of features that properly represents a dataset is still a challenging and, in most cases, an exhausting task. Most of the available techniques, especially when a large number of features is considered, are based on purely quantitative statistical measures or approaches based on artificial intelligence, and normally are "black-boxes" to the user. The approach proposed here seeks to open this "black-box" by means of visual representations, enabling users to get insight about the meaning and representativeness of the features computed from different feature extraction algorithms and sets of parameters. The results show that, as the combination of sets of features and changes in parameters improves the quality of the visual representation, the accuracy of the classification using the defined set of features also improves. The results strongly suggest that our approach can be successfully employed as a guidance to defining and understanding a set of features that properly represents an image dataset.
Languageen
Tertiary TypeFull Paper
FormatPrinted, On-line.
Size3942 KiB
Number of Files1
Target File70614_2.pdf
Last Update2010:08.28.17.55.22 sid.inpe.br/banon/2001/03.30.15.38 brunobrandoli
Metadata Last Update2010:10.01.04.19.37 sid.inpe.br/banon/2001/03.30.15.38 brunobrandoli {D 2010}
Document Stagecompleted
Is the master or a copy?is the master
Mirrorsid.inpe.br/banon/2001/03.30.15.38.24
User Groupbrunobrandoli
Visibilityshown
Transferable1
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
Content TypeExternal Contribution
source Directory Contentthere are no files
agreement Directory Contentthere are no files
History2010-10-01 04:19:37 :: brunobrandoli -> :: 2010
Empty Fieldsaccessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi e-mailaddress edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition nexthigherunit notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume
Access Date2020, Nov. 29

Close