Abstract
The scalable video coding (SVC) standard adopts four post-processing error concealment (EC) methods as a non-normative tool in order to conceal a lost picture in transmission. In this paper, we first introduce an error tracking model with which the concealment error and propagation error can be estimated. Then, we analyze the four EC methods using the error tracking model. Until now, there have been few studies on how to conceal SVC bitstream corrupted by burst errors. Based on the results of the error analysis, we propose a selection-based EC strategy to conceal burst errors for SVC bitstream. In the proposed strategy, one of the four EC methods is adaptively selected such that the visual degradation is minimized for each lost picture. The experimental results show that the proposed EC strategy can improve the EC performance without increasing the computational complexity. Moreover, the proposed strategy does not require any modification of the conventional SVC codec since it utilizes only the EC methods adopted in the standard.
Original language | English |
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Pages (from-to) | 1606-1613 |
Number of pages | 8 |
Journal | IEEE Transactions on Consumer Electronics |
Volume | 55 |
Issue number | 3 |
DOIs | |
Publication status | Published - 2009 |
Bibliographical note
Funding Information:1This research was supported by Seoul Future Contents Convergence(SFCC) Cluster established by Seoul R & BD Program.
Keywords
- Artificial neural networks
- Data mining
- Decoding
- Static VAr compensators
- Streaming media
- Video coding
- Visualization
ASJC Scopus subject areas
- Media Technology
- Electrical and Electronic Engineering