Composite Description Based on Salient Contours and Color Information for CBIR Tasks

2019 ◽  
Vol 28 (6) ◽  
pp. 3115-3129 ◽  
Author(s):  
C. Iakovidou ◽  
N. Anagnostopoulos ◽  
M. Lux ◽  
K. Christodoulou ◽  
Y. Boutalis ◽  
...  
Keyword(s):  
Color Information ◽  
Composite Description

False Memory for Color Information

2006 ◽  
Author(s):  
Andrea N. Eslick ◽  
Bogdan Kostic ◽  
Anne M. Cleary
Keyword(s):  
False Memory ◽  
Color Information

Shape and spatial color information extraction for image retrieval

2001 ◽  
Author(s):  
Panagiotis Androutsos ◽  
Diana Ferrari ◽  
Allen Ly ◽  
Andrew Persaud ◽  
Dimitrios Androutsos ◽  
...  
Keyword(s):  
Image Retrieval ◽  
Information Extraction ◽  
Color Information

Face Image Segmentation Using Color Information and Saliency Map

2011 ◽  
Vol 55-57 ◽  
pp. 77-81
Author(s):  
Hui Ming Huang ◽  
He Sheng Liu ◽  
Guo Ping Liu
Keyword(s):  
Image Segmentation ◽  
Human Skin ◽  
Skin Color ◽  
Saliency Map ◽  
Face Image ◽  
Color Information ◽  
Attention Model ◽  
Face Area ◽  
Face Region ◽  
The Face

In this paper, we proposed an efficient method to address the problem of color face image segmentation that is based on color information and saliency map. This method consists of three stages. At first, skin colored regions is detected using a Bayesian model of the human skin color. Then, we get a chroma chart that shows likelihoods of skin colors. This chroma chart is further segmented into skin region that satisfy the homogeneity property of the human skin. The third stage, visual attention model are employed to localize the face region according to the saliency map while the bottom-up approach utilizes both the intensity and color features maps from the test image. Experimental evaluation on test shows that the proposed method is capable of segmenting the face area quite effectively，at the same time, our methods shows good performance for subjects in both simple and complex backgrounds, as well as varying illumination conditions and skin color variances.

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