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De-emphasis of distracting image regions using texture power maps (2005)
| Content Provider | CiteSeerX |
|---|---|
| Author | Su, Sara L. Durand, Frédo Agrawala, Maneesh |
| Description | We present a post-processing technique that selectively reduces the salience of distracting regions in an image. Computational models of attention predict that texture variation influences bottom-up attention mechanisms. Our method reduces the spatial variation of texture using power maps, high-order features describing local frequency content in an image. Modification of power maps results in effective regional de-emphasis. We validate our results quantitatively via a human subject search experiment and qualitatively with eye tracking data. |
| File Format | |
| Language | English |
| Publisher Date | 2005-01-01 |
| Publisher Institution | IN PROCEEDINGS OF TEXTURE 2005 (AT ICCV |
| Access Restriction | Open |
| Subject Keyword | High-order Feature Post-processing Technique Attention Predict Human Subject Search Experiment Power Map Result Computational Model Effective Regional De-emphasis Bottom-up Attention Mechanism Image Region Texture Variation Spatial Variation Power Map Local Frequency Content Texture Power Map |
| Content Type | Text |
| Resource Type | Article |
