An optimal bit allocation framework for error resilient Scalable Video Coding

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.