• DocumentCode
    2069766
  • Title

    A Segmentation Scheme for Head-Shoulder in MPEG Compressed Domain

  • Author

    Liu Long ; Zhou Yatong ; Feng Xingle

  • Author_Institution
    Xi´an Univ. of Technol., Xi´an, China
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    More attention has been paid to the study of video object segmentation in compressed domain these years, which has already led to some practical technology. In this paper, a scheme is put forward for segmentation of head-shoulder video in MPEG compressed domain. The conception of DCT feature plane is defined in this paper. In the suggested scheme, firstly, the face region is detected by clustering skin-tone DCT feature points in the DCT feature plane; Secondly, the region of head-shoulder is approximately regarded as combination of the Head Rectangle and Shoulder Rectangle and Head Rectangle is confirmed by double template matching; Thirdly Canny operator and morphological operation are applied to the region of head-shoulder in feature plane to get the object mask and the region of object mask is rectified by correlation of DCT blocks to get high-quality segmentation.
  • Keywords
    discrete cosine transforms; image matching; image segmentation; video signal processing; DCT feature plane; MPEG compressed domain; discrete cosine transform; double template matching; face region detection; head rectangle; head-shoulder video; object mask; shoulder rectangle; skin-tone DCT feature point; video object segmentation; Bayesian methods; Costs; Discrete cosine transforms; Face detection; Image segmentation; Shape; Spatiotemporal phenomena; Statistical distributions; Transform coding; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4129-7
  • Electronic_ISBN
    978-1-4244-4131-0
  • Type

    conf

  • DOI
    10.1109/CISP.2009.5300923
  • Filename
    5300923