• DocumentCode
    3631569
  • Title

    Coarse-to-fine moving region segmentation in compressed video

  • Author

    Yue-Meng Chen;Ivan V. Bajic;Parvaneh Saeedi

  • Author_Institution
    School of Engineering Science, Simon Fraser University, Burnaby, BC, V5A 1S6, Canada
  • fYear
    2009
  • Firstpage
    45
  • Lastpage
    48
  • Abstract
    In this paper, we propose a coarse-to-fine segmentation method for extracting moving regions from compressed video. First, motion vectors are clustered to provide a coarse segmentation of moving regions at block level. Second, boundaries between moving regions are identified, and finally, a fine segmentation is performed within boundary regions using edge and color information. Experimental results show that the proposed method can segment moving regions fairly accurately, with sensitivity of 85% or higher, and specificity of over 95%.
  • Keywords
    "Video compression","Data mining","Image segmentation","Multimedia databases","Decoding","Object segmentation","Motion estimation","Image coding","Image databases","Trajectory"
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis for Multimedia Interactive Services, 2009. WIAMIS ´09. 10th Workshop on
  • ISSN
    2158-5873
  • Print_ISBN
    978-1-4244-3609-5
  • Electronic_ISBN
    2158-5881
  • Type

    conf

  • DOI
    10.1109/WIAMIS.2009.5031428
  • Filename
    5031428