Joint Source-Channel Coding for Progressive Transmission of Embedded Source Coders
DCC '99 Proceedings of the Conference on Data Compression
Optimal bandwidth allocation for scalable H.264 video transmission over MIMO systems
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Unequal packet loss resilience for fine-granular-scalability video
IEEE Transactions on Multimedia
Robust progressive image transmission over OFDM systems using space-time block code
IEEE Transactions on Multimedia
Channel-adaptive error protection for streaming stored MPEG-4 FGS over error-prone environments
IEEE Transactions on Circuits and Systems for Video Technology
Overview of the Scalable Video Coding Extension of the H.264/AVC Standard
IEEE Transactions on Circuits and Systems for Video Technology
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In this work, we propose an optimal joint bit allocation framework in order to provide unequal error protection (UEP) for scalable video coding. In the proposed scheme, video sequence is coded based on Scalable Video Coding (SVC) extension of the H.264/AVC standard. We generate different streams according to changing quantization parameters. Each stream divides into different sub-streams in terms of time and quality scalability. These sub-streams with different significance levels are channel-coded using Low Density Parity Check (LDPC) Codes with different coding rates respectively. Motivated by optimally allocating the bits to achieve resilience against channel induced corruptions, we propose an algorithm that optimally allocates the channel coding rates using a dynamic programming approach. We employ a probability model for decoding failure using LDPC codes. The results achieved clearly establish that the proposed framework can optimally allocate LDPC codes with varying coding rates to different sub-streams with the limited bandwidth.