Title
Saliency Detection Based on Multiscale Extrema of Local Perceptual Color Differences.
Abstract
Visual saliency detection is a useful technique for predicting, which regions humans will tend to gaze upon in any given image. Over the last several decades, numerous algorithms for automatic saliency detection have been proposed and shown to work well on both synthetic and natural images. However, two key challenges remain largely unaddressed: 1) How to improve the relatively low predictive perf...
Year
DOI
Venue
2018
10.1109/TIP.2017.2767288
IEEE Transactions on Image Processing
Keywords
Field
DocType
Image color analysis,Detection algorithms,Image representation,Gaussian processes,Visual systems,Mixture models,Object detection
Computer vision,Saliency map,Color space,Pattern recognition,Salience (neuroscience),Visualization,Maxima and minima,Gaussian,Artificial intelligence,Perception,Mathematics,Salient
Journal
Volume
Issue
ISSN
27
2
1057-7149
Citations 
PageRank 
References 
4
0.40
47
Authors
4
Name
Order
Citations
PageRank
Keigo Ishikura140.40
Naoto Kurita240.40
Damon M. Chandler380548.25
Gosuke Ohashi4397.32