Power-aware complexity-scalable multiview video coding for mobile devices

28th Picture Coding Symposium Pub Date : 2010-12-01 DOI:10.1109/PCS.2010.5702506

M. Shafique, B. Zatt, S. Bampi, J. Henkel

引用次数: 7

Abstract

We propose a novel power-aware scheme for complexity-scalable multiview video coding on mobile devices. Our scheme exploits the asymmetric view quality which is based on the binocular suppression theory. Our scheme employs different quality-complexity classes (QCCs) and adapts at run time depending upon the current battery state. It thereby enables a run-time tradeoff between complexity and video quality. The experimental results show that our scheme is superior to state-of-the-art and it provides an up to 87% complexity reduction while keeping the PSNR close to the exhaustive mode decision. We have demonstrated the power-aware adaptivity between different QCCs using a laptop with battery charging and discharging scenarios.

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用于移动设备的功率感知复杂可扩展的多视图视频编码

针对移动设备上复杂度可扩展的多视点视频编码，提出了一种新的功率感知方案。我们的方案利用了基于双目抑制理论的非对称视点质量。我们的方案采用不同的质量复杂度类(qcc)，并根据当前电池状态在运行时进行调整。因此，它可以在复杂性和视频质量之间进行运行时权衡。实验结果表明，我们的方案优于最先进的方案，它在保持PSNR接近穷举模式决策的同时，提供了高达87%的复杂性降低。我们已经使用笔记本电脑演示了不同qc之间的功率感知适应性，并使用电池充电和放电场景。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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28th Picture Coding Symposium

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