Name
Abstract | ||
|---|---|---|
An approach for rapid scene perception from global layout to local features is presented. The representation of a complex scene is initially built from a collection of global features from which properties related to the spatial layout of the scene and its semantic category can be estimated. The rapid perception of natural scenes relies partly on a global estimation of the features contained in the scene. Further analysis on the local essential areas is deployed on the basis. Such kind of integrated model guarantees the interactive processing between local and global features, thus enabling low-level features to initiate scene perception and categorization efficiently. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/WIAMIS.2008.12 | WIAMIS |
Keywords | Field | DocType |
scene categorization,global layout,scene perception,rapid scene perception,semantic category,complex scene,global-to-local oriented rapid scene,local essential area,global estimation,global-to-local oriented rapid scene perception,natural scene,global feature,feature extraction,interactive processing,natural scenes,rapid perception,local feature,layout,computational modeling,visualization,computer vision,psychology,image segmentation,principal component analysis,estimation,image analysis,object recognition | Computer vision,Categorization,Pattern recognition,Visualization,Computer science,Feature extraction,Scene statistics,Artificial intelligence,Perception,Cognitive neuroscience of visual object recognition | Conference |
ISBN | Citations | PageRank |
978-0-7695-3130-4 | 1 | 0.38 |
References | Authors | |
4 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Le Dong | 1 | 31 | 7.60 |
| ebroul izquierdo | 2 | 1050 | 148.03 |