We tackle the problem of burst error in wireless video transmission. Burst error damages video information so severely that it is very difficult to restore the lost information. For restoration, it is advantageous to ...
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We tackle the problem of burst error in wireless video transmission. Burst error damages video information so severely that it is very difficult to restore the lost information. For restoration, it is advantageous to retain a part of block information. To achieve this, we propose a coefficient sampling and interleaving method, where texture coefficients are grouped into several coefficient groups (CG) so that the groups have equal importance. The CGs are interleaved so that burst error cannot damage all CGs from one block. A restoration method is proposed to utilize the retained coefficients. The simulation results show that the proposed coefficient sampling scheme and the restoration method restore the lost information very well. (c) 2005 Society of Photo-Optical Instrumentation Engineers.
Current techniques for coding images and video sources with resilience to channel errors can remove much of the need for complex high-redundancy channel coding and provide a graceful degradation of performance with de...
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Current techniques for coding images and video sources with resilience to channel errors can remove much of the need for complex high-redundancy channel coding and provide a graceful degradation of performance with decreasing channel quality. The main function of these error-resilient techniques is to reduce the propagation of errors within the decoded data. Two main techniques are discussed in detail in this paper: the error-resilient entropy code (EREC) and pyramid vector quantisation (PVQ). The paper concludes with a brief comparison of the relative merits of these systems and areas for further consideration.
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