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首页> 外文会议>Information Sciences and Systems, 2009. CISS 2009 >On unequal error protection with low density parity check codes in scalable video coding
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On unequal error protection with low density parity check codes in scalable video coding

机译：可伸缩视频编码中具有低密度奇偶校验码的不平等错误保护

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In this work, we propose an unequal error protection (UEP) scheme for scalable video coding using low density parity check (LDPC) codes. LDPC codes are renowned for their near-capacity performance. In the proposed framework, a video sequence is coded based on scalable video coding (SVC) H.264/AVC standard document. We divide the SVC coded video stream into different sub-streams in terms of time and quality scalability. These sub-streams are channel-coded using low density parity check (LDPC) codes for robustness against channel impairments. LDPC codes with different coding rates are applied for different sub-streams according to the significance level of each sub-stream in order to provide UEP. We develop a probability model for decoding failure using LDPC codes in order to evaluate the bit error rate under different signal-to-noise ratios and delay constraints for an AWGN channel. Further motivated by optimally allocating the bits to maximize the quality of reconstructed video at the decoder against channel induced corruptions, we propose an optimal bit allocation algorithm (OBAA) that optimally allocates the channel coding rates using a dynamic programming approach. We use the proposed probability model in OBAA in order to obtain rate-distortion characteristics of LDPC coded SVC video. The results achieved clearly establish that the proposed UEP scheme can optimally allocate LDPC codes with different coding rates to different sub-streams that significantly decreases the end-to-end distortion of the system as compared to equal error protection (EEP) scheme resulting in greater system throughputs.
机译：在这项工作中，我们为使用低密度奇偶校验（LDPC）码的可伸缩视频编码提出了一种不等错误保护（UEP）方案。 LDPC代码以其接近容量的性能而闻名。在提出的框架中，基于可伸缩视频编码（SVC）H.264 / AVC标准文档对视频序列进行编码。根据时间和质量可伸缩性，我们将SVC编码的视频流划分为不同的子流。这些子流使用低密度奇偶校验（LDPC）码进行信道编码，以增强抵抗信道损伤的能力。为了提供UEP，根据每个子流的重要性级别，将具有不同编码率的LDPC码应用于不同的子流。为了评估AWGN信道在不同信噪比和延迟约束下的误码率，我们开发了一种使用LDPC码解码失败的概率模型。通过优化分配位以最大程度地提高解码器处的重构视频质量以防止信道引起的损坏，我们提出了一种最优位分配算法（OBAA），该算法使用动态编程方法来最优地分配信道编码率。为了获得LDPC编码的SVC视频的速率失真特性，我们在OBAA中使用了建议的概率模型。所获得的结果清楚地表明，所提出的UEP方案可以将具有不同编码率的LDPC码最佳地分配给不同的子流，与等差错保护（EEP）方案相比，该方案显着降低了系统的端到端失真。系统吞吐量。

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