• DocumentCode
    3723489
  • Title

    A review of object segmentation quality subjective assessment methods

  • Author

    Ran Shi;King Ngi Ngan;Yichi Zhang

  • Author_Institution
    Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    In the past decades, researchers have made great efforts to develop object segmentation algorithms and constantly improving the segmentation quality. Compared with object segmentation algorithms, object segmentation quality assessment is less studied. Especially, how to evaluate segmentation quality by subjective assessment, which is the most reliable way to understand and analyze segmentation quality in terms of human perception has not attracted much attention. In this paper, we review three object segmentation subjective assessment methods and propose possible future directions for research in object segmentation quality subjective assessment.
  • Keywords
    "Image segmentation","Object segmentation","Quality assessment","Videos","Standards","Reliability","Visualization"
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2015 - 2015 IEEE Region 10 Conference
  • ISSN
    2159-3442
  • Print_ISBN
    978-1-4799-8639-2
  • Electronic_ISBN
    2159-3450
  • Type

    conf

  • DOI
    10.1109/TENCON.2015.7372726
  • Filename
    7372726