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A perceptual macroblock layer power control for energy scalable video encoder based on just noticeable distortion principle

机译:基于明显失真原理的能量可伸缩视频编码器感知宏块层功率控制

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摘要

In most mobile video encoding systems, long battery life and high performance video encoding are competing design goals. This paper proposed a Macroblock (MB) level perceptual energy scalable video encoding method noted as PMP-ESVE, in which just noticeable distortion (JND) model is introduced as the perceptual cue. PMP-ESVE includes three parts, first, PMP-ESVE can dynamic adapt the variable energy resource budget in MB level, second, PMP-ESVE jointly consider the available energy resource and the perceptual feature in order to provide a MB level scalable video encoding method under variable energy consumption budget. Third, JND model, which refers to the maximum distortion that human visual system cannot perceive, is extended from spatial domain to temporal domain so as to determine perceptual cue in unit of MB. This provides the guideline of resource allocation in MB's. Finally, both objective and subjective quality evaluations are given to evaluate the proposed method. These experimental results demonstrate the efficiency of the proposed approach.
机译:在大多数移动视频编码系统中,长电池寿命和高性能视频编码是相互竞争的设计目标。本文提出了一种宏块(MB)级感知能量可伸缩视频编码方法,称为PMP-ESVE,其中仅引入了明显失真(JND)模型作为感知线索。 PMP-ESVE包括三个部分,第一,PMP-ESVE可以在MB级别动态调整可变的能源预算,第二,PMP-ESVE共同考虑可用能源和感知特性,以便提供MB级别的可伸缩视频编码方法在可变能耗预算下。第三,JND模型是指人类视觉系统无法感知的最大失真,它从空间域扩展到时间域,从而确定以MB为单位的感知提示。这提供了以MB为单位的资源分配指南。最后,通过客观和主观质量评估来评估所提出的方法。这些实验结果证明了该方法的有效性。

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