Name
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. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1109/SIBGRA.2000.883895 | SIBGRAPI |
Keywords | Field | DocType |
new methodology,different feature,geometrical object,top-down subsystem,top-down fuzzy information,target search,bottom-up conspicuity feature,human visual attention,different task,different object,last subsystem,visual field,feature extraction,testing,bottom up,top down,indexation,decision rules,object recognition,interference,information processing,psychology,decision rule,visual perception,fuzzy logic,physics,layout | Decision rule,Information processing,Computer science,Top-down and bottom-up design,Fuzzy logic,Gestalt psychology,Feature extraction,Human–computer interaction,Artificial intelligence,Visual perception,Cognitive neuroscience of visual object recognition | Conference |
ISBN | Citations | PageRank |
0-7695-0878-2 | 1 | 0.39 |
References | Authors | |
2 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Evelina Maria de Almeida Neves | 1 | 1 | 0.39 |
| João Eduardo Borelli | 2 | 1 | 0.39 |
| Adilson Gonzaga | 3 | 80 | 13.27 |