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A Fast and Adaptive Boundary Matching Algorithm for Video Error Concealment
KTH, School of Electrical Engineering (EES), Signal Processing.
KTH, School of Electrical Engineering (EES), Sound and Image Processing.
Sharif University. (IPL)
2010 (English)In: 4th International Conference on Signal Processing and Communication Systems, ICSPCS'2010, IEEE , 2010Conference paper, Published paper (Refereed)
Abstract [en]

Low-complexity error concealment techniques for missing macroblock (MB) recovery based on the boundary matching principle are extensively studied and evaluated. In this paper, an improved boundary matching algorithm (BMA) using adaptive search is presented to conceal channel errors in inter-frames of video images. The proposed scheme adaptively selects proper candidate regions to conceal the artifact of a lost block. The candidate regions are examined based on analyzing motion activity of the neighboring MBs. Simulations show that the proposed scheme outperforms both on PSNR and visual quality obviously of about 1?4dB compared to existing methods.

Place, publisher, year, edition, pages
IEEE , 2010.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-42587DOI: 10.1109/ICSPCS.2010.5709759ISI: 000299631600114Scopus ID: 2-s2.0-79952501726OAI: oai:DiVA.org:kth-42587DiVA: diva2:447304
Conference
4th International Conference on Signal Processing and Communication Systems, ICSPCS'2010. Gold Coast, QLD. 13 December 2010 - 15 December 2010
Note

QC 20111115

Available from: 2011-10-11 Created: 2011-10-11 Last updated: 2012-09-05Bibliographically approved

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  • apa
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