• 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