• DocumentCode
    464739
  • Title

    A Real Time and Low Cost Hardware Architecture for Video Abstraction System

  • Author

    Chang, Li-Chuan ; Chen, Yen-Sung ; Liou, Rung-Wen ; Kuo, Chih-Hung ; Yeh, Chia-Hung ; Liu, Bin-Da

  • Author_Institution
    Dept. of Electr. Eng., National Cheng Kung Univ., Tainan
  • fYear
    2007
  • fDate
    27-30 May 2007
  • Firstpage
    773
  • Lastpage
    776
  • Abstract
    In this paper, we propose a real time hardware architecture with low cost for histogram difference calculator to process and low-level extraction in our video abstraction system. The highlights are extracted from video data by directly combining simple visual and audio features of video data without specific domain knowledge and hence its low complexity makes it suitable to be implemented in embedded systems. Experimental results show that the condensed skimming clips comprise the interesting and informative parts and most meaningful semantic contents are extracted efficiently
  • Keywords
    feature extraction; real-time systems; video signal processing; audio features; embedded systems; histogram difference calculator; low-level extraction; real time hardware architecture; semantic contents; video abstraction system; video data; visual features; Computer architecture; Costs; Data mining; Embedded system; Gunshot detection systems; Hardware; Hidden Markov models; Histograms; Motion pictures; Real time systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2007. ISCAS 2007. IEEE International Symposium on
  • Conference_Location
    New Orleans, LA
  • Print_ISBN
    1-4244-0920-9
  • Electronic_ISBN
    1-4244-0921-7
  • Type

    conf

  • DOI
    10.1109/ISCAS.2007.378000
  • Filename
    4252749