• DocumentCode
    1786035
  • Title

    A novel video error concealment technique based on Gaussian window analysis

  • Author

    Radmehr, Ali ; Ahrabi, Zeinab ; Ghasemi, Abdorasoul

  • Author_Institution
    Fac. of Electr. & Comput. Eng., K.N. Toosi Univ. of Technol., Tehran, Iran
  • fYear
    2014
  • fDate
    20-22 May 2014
  • Firstpage
    1838
  • Lastpage
    1841
  • Abstract
    Error Concealment (EC) algorithms have provided a very useful tool for concealing the errors in digital video streams. The importance of EC methods arises specially in broadcasting and multicasting communications where retransmission of corrupted video sequence is not possible. In this paper, a Motion Vector (MV) space is proposed around each erroneous macroblock (MB) and thus the candidate MV can be refined using a Gaussian window effectively. Gaussian window application in this scenario is analyzed in detail. Finally, simulation results proves the superiority of the proposed method to the conventional approaches.
  • Keywords
    errors; image motion analysis; image sequences; video communication; video signal processing; video streaming; Gaussian window analysis; broadcast communication; corrupted video sequence; digital video streams; erroneous macroblock; error concealment algorithms; motion vector space; multicast communication; video error concealment technique; Algorithm design and analysis; Correlation; Equations; Interpolation; Mathematical model; Vectors; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering (ICEE), 2014 22nd Iranian Conference on
  • Conference_Location
    Tehran
  • Type

    conf

  • DOI
    10.1109/IranianCEE.2014.6999839
  • Filename
    6999839