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Macroblock level rate control of SVC spatial-SNR scalability

机译:SVC空间SNR可伸缩性的宏块级速率控制

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摘要

Scalable video coding (SVC) addresses the application need of a more flexible format of coded video in heterogeneous and time-varying environments. Rate control (RC) plays an important role in allocating H.264/SVC bits to adapt to the actual channel bandwidth and meanwhile to achieve high-quality reconstructed images. A macroblock level rate control algorithm based on layer level and MB level bit-rate allocation is proposed for SVC spatial and MGS scalability in this paper. At the same time, layer level buffer control is used. The coding process of each layer is controlled by a respective buffer controller and a train of RC parameters. The accurate bit-rate can be achieved and the maximum mismatch between actual bit-rate and target bit-rate can be maintained, using the proposed algorithm. Comparing with FixQpEncoder adopted in the joint scalable video model (JSVM), high peak signal to noise ratio (PSNR) can be obtained without multiple iterative and the complexity is reduced. The proposed algorithm can meet the real-time demand.
机译:可伸缩视频编码(SVC)满足了异构和时变环境中对编码视频更灵活格式的应用需求。速率控制(RC)在分配H.264 / SVC位以适应实际的信道带宽并同时​​获得高质量的重建图像方面起着重要作用。针对SVC空间和MGS可扩展性,提出了一种基于层级和MB级比特率分配的宏块级速率控制算法。同时,使用层级缓冲区控制。每层的编码过程由相应的缓冲区控制器和一系列RC参数控制。使用提出的算法,可以实现准确的比特率,并且可以保持实际比特率和目标比特率之间的最大失配。与联合可伸缩视频模型(JSVM)中采用的FixQpEncoder相比,无需多次迭代即可获得高峰值信噪比(PSNR),并且降低了复杂度。该算法可以满足实时性要求。

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