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Distributed Video Coding with Progressive Significance Map

机译:具有渐进重要性图的分布式视频编码

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A distributed video coding (DVC) system based on wavelet transform and set partition coding (SPC) is presented in this paper. Conventionally the significance map (sig-map) of SPC is not conducive to Slepian-Wolf (SW) coding, because of the difficulty of generating a side information sig-map and the sensitivity to decoding errors. The proposed DVC system utilizes a higher structured significance map, named progressive significance map (prog-sig-map), which structures the significance information into two parts: a high-level summation significance map (sum-sig-map) and a low-level complementary significance map (comp-sig-map). This prog-sig-map alleviates the above difficulties and thus makes part of the prog-sig-map (specifically, the fixed-length-coded comp-sig-map) suitable for SW coding. Simulation results are provided showing the improved rate-distortion performance of the DVC system even with a simple system configuration.
机译:提出了一种基于小波变换和集划分编码(SPC)的分布式视频编码(DVC)系统。传统上,由于生成辅助信息sig-map的困难和对解码错误的敏感性,SPC的有效图(sig-map)不利于Slepian-Wolf(SW)编码。拟议的DVC系统利用了较高的结构化重要性图,称为渐进重要性图(prog-sig-map),它将重要性信息分为两部分:高级总和重要性图(sum-sig-map)和低级重要性图(sum-sig-map)。级别互补重要性图(comp-sig-map)。该prog-sig-map减轻了上述困难,因此使prog-sig-map(特别是固定长度编码的comp-sig-map)的一部分适合于SW编码。提供的仿真结果显示,即使使用简单的系统配置,DVC系统的速率失真性能也会得到改善。

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