Paper Info
Title
Why You Trust in Visual Saliency.
Abstract
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
DOI
Venue
2015
10.1007/978-3-319-23222-5_71
Lecture Notes in Computer Science
Keywords
Field
DocType
Saliency maps,Image corruption,Image compression
Computer vision,Pattern recognition,Computer science,Salience (neuroscience),Digital image,Ground truth,Visual attention,Artificial intelligence,Stimulus (physiology),Observer (quantum physics),Image compression,Visual saliency
Conference
Volume
ISSN
Citations 
9281
0302-9743
0
PageRank 
References 
Authors
0.34
7
4
Name
Order
Citations
PageRank
Edoardo Ardizzone123940.79
Alessandro Bruno2254.13
Luca Greco325128.54
Marco La Cascia465571.39