6533b7cefe1ef96bd125724b
RESEARCH PRODUCT
Visual saliency detection in colour images based on density estimation
Désiré SidibéFabrice Meriaudeausubject
0209 industrial biotechnologybusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Pattern recognitionGaussian density02 engineering and technologyDensity estimation[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Measure (mathematics)Texture (geology)020901 industrial engineering & automationSalientComputer Science::Computer Vision and Pattern Recognition0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionArtificial intelligenceElectrical and Electronic EngineeringbusinessComputingMethodologies_COMPUTERGRAPHICSVisual saliencydescription
International audience; A simple and effective method for visual saliency detection in colour images is presented. The method is based on the common observation that local salient regions exhibit distinct geometric and and texture patterns from neighbouring regions. We model the colour distribution of local image patches with a Gaussian density and measure the saliency of each patch as the statistical distance from that density. Experimental results with public datasets and comparison with other state-of-the-art methods show the effectiveness of our method.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2017-01-01 | Electronics Letters |