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Fast and memory-efficient up-sampling methods for H.264/AVC SVC with extended spatial scalability

机译:具有扩展的空间可扩展性的H.264 / AVC SVC的快速且内存高效的上采样方法

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摘要

The inter-layer prediction (ILP) including intra, residual, and motion up-sampling operation in SVC significantly increased the compression ratio compared with simulcast. The up-sampling algorithms of ILP, however, require much more memory and computational load than single-layer coding because they require several large buffers for storing up-sampled data, four-tap FIR filter, and many conditional branches, et al. This paper presents macroblock (MB)-based up-sampling methods using just-in-time strategy, where intra and residual up-sampling operations for extended spatial scalability (ESS) are selectively performed by using MB information of enhancement layer. Especially, residual up-sampling operations are largely simplified by determining transform block identification for only luma plane and by calculating and referencing the identification per 4x4 block instead of pixel. Experimental results show that the proposed algorithms speed-up the total decoding time of 3-layer (SIF/SD/Full-HD) sequences by about 64% on average and reduce the memory consumption required for up-sampling operations by about 99%, compared with the existing picturebased up-sampling algorithm for ESS.
机译:与联播相比,包括SVC中的帧内,残差和运动上采样操作在内的层间预测(ILP)显着提高了压缩率。但是,ILP的上采样算法比单层编码需要更多的内存和计算负荷,因为它们需要几个大的缓冲区来存储上采样的数据,四抽头FIR滤波器和许多条件分支等。本文提出了一种使用即时策略的基于宏块(MB)的上采样方法,其中通过使用增强层的MB信息有选择地执行用于扩展空间可伸缩性(ESS)的内部和残余上采样操作。尤其是,仅通过确定亮度平面的变换块标识并通过计算和引用每个4x4块而不是像素的标识,就可以大大简化残余的上采样操作。实验结果表明,所提出的算法平均可将3层(SIF / SD / Full-HD)序列的总解码时间平均缩短约64%,并将上采样操作所需的内存消耗降低约99%,与现有的基于图片的ESS上采样算法进行了比较。

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