6533b83afe1ef96bd12a7b61
RESEARCH PRODUCT
Why you trust in visual saliency
Luca GrecoAlessandro BrunoEdoardo ArdizzoneMarco La Casciasubject
Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniGround truthSaliency mapImage compressionbusiness.industryImage corruptionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONObserver (special relativity)Digital imageVisual attentionComputer visionArtificial intelligencebusinessImage compressionVisual saliencyMathematicsdescription
Image understanding is a simple task for a human observer. Visual attention is automatically pointed to interesting regions by a natural objective stimulus in a first step and by prior knowledge in a second step. Saliency maps try to simulate human response and use actual eye-movements measurements as ground truth. An interesting question is: how much corruption in a digital image can affect saliency detection respect to the original image? One of the contributions of this work is to compare the performances of standard approaches with respect to different type of image corruptions and different threshold values on saliency maps. If the corruption can be estimated and/or the threshold is fixed, the results of this work can also be used to help in the selection of a method with best performance.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2015-01-01 |