Identity statement area | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Identifier | 6qtX3pFwXQZeBBx/w4R9B |
Repository | sid.inpe.br/banon/2002/11.05.10.29 |
Last Update | 2002:11.04.02.00.00 administrator |
Metadata | sid.inpe.br/banon/2002/11.05.10.29.55 |
Metadata Last Update | 2020:02.19.02.58.51 administrator |
Citation Key | NevesBoreGonz:2000:TaSeBo |
Title | Target search by bottom-up and top-down fuzzy information  |
Year | 2000 |
Date | October |
Access Date | 2021, Jan. 19 |
Number of Files | 1 |
Size | 630 KiB |
Context area | |
Author | 1 Neves, Evelina Maria de Almeida 2 Borelli, Joćo Eduardo 3 Gonzaga, Adilson |
Editor | Carvalho, Paulo Cezar Pinto Walter, Marcelo |
Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 13 (SIBGRAPI) |
Conference Location | Gramado, RS, Brazil |
Pages | 60-66 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Tertiary Type | Full Paper |
Organization | SBC - Brazilian Computer Society |
History | 2008-07-17 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 |
Content and structure area | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Keywords | visual 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. |
Abstract | One 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. |
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Conditions of access and use area | |
data URL | http://urlib.net/rep/6qtX3pFwXQZeBBx/w4R9B |
zipped data URL | http://urlib.net/zip/6qtX3pFwXQZeBBx/w4R9B |
Target File | 60-66.pdf |
User Group | administrator |
Visibility | shown |
Allied materials area | |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
Notes area | |
Notes | The conference was held in Gramado, RS, Brazil, from October 17 to 20. |
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