An Efficient Error Concealment Algorithm using Adaptive Selection of Adjacent Motion Vectors 


Vol. 11,  No. 6, pp. 661-666, Oct.  2004
10.3745/KIPSTB.2004.11.6.661


PDF
  Abstract

In the wireless communication systems, transmission errors degrade the reconstructed image quality severely. Error concealment in video communication is becoming increasingly important because transmission errors can cause single or multiple loss of macroblocks in video delivery over unreliable channels such as wireless networks and internet. Among various techniques which can reduce the degradation of video quality, the error concealment techniques yield good performance without overheads and the modification of the encoder. In this paper, lost image blocks can be concealed with the OBMC(Overlapped Block Motion Compensation) after new motion vectors of the lost image blocks are allocated by median values using the adaptive selection with motion vectors of adjacent blocks. We know our algorithm is more effective in case of continuous GOB loss. The results show a significant improvement over the zero motion error concealment and other temporal concealment methods such as Motion Vector Rational Interpolation or Median OBMC by 3 dB gain in PSNR.

  Statistics
  Cite this article

[IEEE Style]

H. W. Lee and D. S. Seong, "An Efficient Error Concealment Algorithm using Adaptive Selection of Adjacent Motion Vectors," The KIPS Transactions:PartB , vol. 11, no. 6, pp. 661-666, 2004. DOI: 10.3745/KIPSTB.2004.11.6.661.

[ACM Style]

Hyun Woo Lee and Dong Su Seong. 2004. An Efficient Error Concealment Algorithm using Adaptive Selection of Adjacent Motion Vectors. The KIPS Transactions:PartB , 11, 6, (2004), 661-666. DOI: 10.3745/KIPSTB.2004.11.6.661.

Forms

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)

Old Journals

Indexing

All publications of TKIPS is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.

TKIPS is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).

Related Journals