• DocumentCode
    1714913
  • Title

    Spatial-temporal salient unit detection based on features in video sequences

  • Author

    Suolan Liu ; Wankou Yang ; Hongyuan Wang ; Changyin Sun

  • Author_Institution
    Sch. of Autom., Southeast Univ., Nanjing, China
  • fYear
    2013
  • Firstpage
    3556
  • Lastpage
    3559
  • Abstract
    A spatial-temporal salient unit detection method is proposed to express the video content. In the process of extracting the salient regions in spatial domain, brightness and direction information are used to construct the synthetically salient image. Threshold method is selected to segmentation. By morphological processing and area filtration, saliency degree is calculated. And the salient regions are determined under competition mechanism. In the process of extracting the salient regions in temporal domain, by definition a merger criterion, the high relevant regions are merged. Video´s content of a lens can be expressed by all spatial-temporal salient regions. The experiments are performed to demonstrate the validity from spatial and temporal aspects.
  • Keywords
    brightness; feature extraction; filtering theory; image segmentation; image sequences; video signal processing; area filtration; brightness; competition mechanism; direction information; merger criterion; morphological processing; saliency degree; salient regions extraction; segmentation; spatial-temporal salient unit detection; synthetically salient image construction; temporal domain; threshold method; video content; video sequences; Brightness; Corporate acquisitions; Feature extraction; Gabor filters; Pattern recognition; Video sequences; Visualization; features; salient region; spatial domain; temporal domain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2013 32nd Chinese
  • Conference_Location
    Xi´an
  • Type

    conf

  • Filename
    6640037