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Effective computation-aware algorithm by inter-layer motion analysis for scalable video coding

机译：通过层间运动分析的有效计算感知算法，用于可伸缩视频编码

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摘要

Scalable video coding incorporated with computation-aware ability achieves quality as well as being computation scalable. This paper presents a computation-aware algorithm for scalable video coding with spatial/quality scalability aiming for the best trade-off between rate distortion performance and computational consumption. We first observe and analyze and then establish a model for the motion vector difference relationship between the scalable base and enhancement layers. By using the modeling results, a linear algorithm for computation distribution is thus proposed to allocate the computation for each macroblock in the enhancement layer. In addition, the rate distortion costs of the base layer are also taken into account for the computation allocation process in order to further improve the coding performance. The simulation results demonstrate that our proposed computation-aware algorithm not only accomplishes better rate distortion performance than other works under the same computational constraints, but also achieves less computation necessities. (C) 2015 Elsevier Inc. All rights reserved.
机译：结合了计算感知能力的可伸缩视频编码不仅可以实现质量，而且可以实现计算可伸缩。本文提出了一种具有空间/质量可伸缩性的可伸缩视频编码计算感知算法，旨在在速率失真性能和计算消耗之间取得最佳平衡。我们首先观察和分析，然后为可伸缩基础层和增强层之间的运动矢量差关系建立模型。通过使用建模结果，因此提出了一种用于计算分布的线性算法，以为增强层中的每个宏块分配计算量。另外，在计算分配过程中还考虑了基础层的速率失真成本，以进一步提高编码性能。仿真结果表明，在相同的计算约束下，我们提出的计算感知算法不仅比其他算法具有更好的速率失真性能，而且计算量也更少。 （C）2015 Elsevier Inc.保留所有权利。

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