DocumentCode
3765153
Title
Constrained maximization of saliency of intended object for guiding attention
Author
Ravi Kant Kumar;Rajarshi Pal
Author_Institution
Department of Computer Science and Engineering, National Institute of Technology, Durgapur, India
fYear
2015
Firstpage
1
Lastpage
6
Abstract
Saliency of an object in an image determines the attentiveness of the object with respect to human visual system. Saliency, in the absence of any external stimuli, is determined by contrast of features (like intensity, color, etc.) of the object with its surroundings. This paper proposes a novel technique to enhance the saliency of an object, which is not intrinsically salient. In order to enhance the attentiveness, the feature values of a used-defined target object (whose saliency has to be enhanced) should have more differences with the feature values of its surrounding objects. But too much modification of these values of the target object will destroy the naturalness of the image. So this problem of enhancing saliency of a target object is treated as a maximization problem under some constraints.
Keywords
"Image segmentation","Optimization","Image color analysis","Computational modeling","Context","Electronic mail","Gray-scale"
Publisher
ieee
Conference_Titel
India Conference (INDICON), 2015 Annual IEEE
Electronic_ISBN
2325-9418
Type
conf
DOI
10.1109/INDICON.2015.7443858
Filename
7443858
Link To Document