Close
Metadata

Reference TypeConference Proceedings
Identifier6qtX3pFwXQZeBBx/w4R9B
Repositorysid.inpe.br/banon/2002/11.05.10.29
Metadatasid.inpe.br/banon/2002/11.05.10.29.55
Sitesibgrapi.sid.inpe.br
Citation KeyNevesBoreGonz:2000:TaSeBo
Author1 Neves, Evelina Maria de Almeida
2 Borelli, Joćo Eduardo
3 Gonzaga, Adilson
TitleTarget search by bottom-up and top-down fuzzy information
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 13 (SIBGRAPI)
Year2000
EditorCarvalho, Paulo Cezar Pinto
Walter, Marcelo
DateOctober
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationGramado, RS, Brazil
Keywordsvisual perception, target search, bottom-up fuzzy information, top-down fuzzy information, feature extraction, visual field, human visual attention, fuzzy net, fuzzy subsystems, decision rules, visual perception, Gestalt laws, salience index, geometrical objects.
AbstractOne of the basic tasks assigned to the attentional mechanism is to decide which location in the visual field we must pay attention first. An object containing a distinctive feature can attract attention in a bottom-up way. By comparing one object with the others present in the scene, bottom-up conspicuity features are used to guide attention to the most different object. Top-down hints are based on the previous knowledge about the objects or on which features are important to locate them and also have a large influence on the attended locations. Inspired by the mechanisms of human visual attention we developed a new methodology to integrate bottom-up and top-down information by using a fuzzy net containing three fuzzy subsystems. The first bottom-up subsystem allow us to combine features and infer with great flexibility some intuitive decision rules based on the visual perception principles such as the Gestalt laws. The second top-down subsystem combines different features according to the relevance of them in different tasks. Finally, the last subsystem integrates the information of the previous systems and gives a general salience index. The new methodology was tested in geometrical objects considering the features that attract attention to human beings.
Pages60-66
NotesThe conference was held in Gramado, RS, Brazil, from October 17 to 20.
OrganizationSBC - Brazilian Computer Society
Tertiary TypeFull Paper
Size630 KiB
Number of Files1
Target File60-66.pdf
Last Update2002:11.04.02.00.00 sid.inpe.br/banon/2001/03.30.15.38 administrator
Metadata Last Update2020:02.19.02.58.51 sid.inpe.br/banon/2001/03.30.15.38 administrator {D 2000}
Document Stagecompleted
Is the master or a copy?is the master
User Groupadministrator
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
History2008-07-17 14:10:49 :: administrator -> banon ::
2008-08-26 15:23:01 :: banon -> administrator ::
2009-08-13 20:36:52 :: administrator -> banon ::
2010-08-28 20:00:08 :: banon -> administrator ::
2020-02-19 02:58:51 :: administrator -> :: 2000
Empty Fieldsaccessionnumber affiliation archivingpolicy archivist area booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi e-mailaddress edition electronicmailaddress format group holdercode isbn issn label language lineage mark mirrorrepository nextedition nexthigherunit numberofvolumes orcid 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