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Extrinsic Information Modification in the Turbo Decoder by Exploiting Source Redundancies for HEVC Video Transmitted over a Mobile Channel

机译:通过利用在移动通道上传输的HEVC视频的源冗余来在Turbo解码器中进行外部信息修改

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摘要

An iterative turbo decoder based cross layer error recovery scheme for compressed video is presented in this paper. The soft information exchanged between two convolutional decoders are reinforced both by channel coded parity and video compression syntactical information. An algorithm to identify the video frame boundaries in corrupted compressed sequences is formulated. The paper continues to propose algorithms to deduce the correct values for selected fields in the compressed stream. Modifying the turbo extrinsic information using these corrections act as reinforcements in the turbo decoding iterative process. The optimal number of turbo iterations suitable for the proposed system model is derived using EXIT charts. Simulation results reveal that a transmission power saving of 2.28% can be achieved using the proposed methodology. Contrary to typical joint cross layer decoding schemes, the additional resource requirement is minimal since the proposed decoding cycle does not involve the decompression function.
机译:提出了一种基于迭代Turbo解码器的压缩视频跨层错误恢复方案。在两个卷积解码器之间交换的软信息通过信道编码奇偶校验和视频压缩语法信息得到增强。制定了一种算法,用于识别损坏的压缩序列中的视频帧边界。本文继续提出算法,以推导压缩流中选定字段的正确值。使用这些校正来修改turbo外部信息在turbo解码迭代过程中起到了增强作用。使用EXIT图表可以得出适合于所提出的系统模型的Turbo迭代的最佳数量。仿真结果表明,使用所提出的方法可以节省2.28%的发射功率。与典型的联合跨层解码方案相反,由于建议的解码周期不涉及解压缩功能,因此额外的资源需求最少。

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