• DocumentCode
    1998162
  • Title

    Low-complexity inter-sequence error concealment based on scale-invariant feature transform

  • Author

    Tröger, Tobias ; Heiber, Henning ; Schmitt, Andreas ; Kaup, André

  • Author_Institution
    Multimedia Commun. & Signal Process., Univ. of Erlangen-Nuremberg, Erlangen, Germany
  • fYear
    2009
  • fDate
    5-7 Oct. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Inter-sequence error concealment defines a novel class of concealment techniques which utilize two or more representations of a particular video sequence for image reconstruction. An image-based approach introduced recently provides superior reconstruction quality of concealed image parts and outperforms well-known intra methods by up to 15 dB PSNRY. However, computational complexity is high due to a numerical solution of the image registration problem. In this paper, we propose a feature-based technique for image registration which is included in the concept of inter-sequence error concealment. Based on the determination of scale-invariant features, the processing time is reduced on average by a factor of up to 28. At the same time, the loss in terms of objective image quality compared to the image-based approach is less than 1 dB PSNRY.
  • Keywords
    computational complexity; image reconstruction; image registration; image sequences; transforms; video signal processing; computational complexity; image reconstruction; image registration; low-complexity inter-sequence error concealment; scale-invariant feature transform; superior reconstruction quality; video sequence; Computational complexity; Image quality; Image reconstruction; Image registration; PSNR; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Signal Processing, 2009. MMSP '09. IEEE International Workshop on
  • Conference_Location
    Rio De Janeiro
  • Print_ISBN
    978-1-4244-4463-2
  • Electronic_ISBN
    978-1-4244-4464-9
  • Type

    conf

  • DOI
    10.1109/MMSP.2009.5293321
  • Filename
    5293321