Multi-mode content-aware motion estimation algorithm for power-aware video coding systems

Siou-Shen Lin, Po-Chih Tseng, Chia-Ping Lin, Liang-Gee Chen
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引用次数: 13

Abstract

By exploiting the characteristics of the video signal, two content-aware decision criteria are proposed to identify the complexity of motion vectors. Based on these two decision criteria, as well as different combinations of various motion estimation algorithms, four different modes are proposed to allow the computation resources to be varied dynamically between different power constraints. The proposed decision criteria also enable the maximization of quality under each power constraint by a quality-driven diversity-based search approach. According to our simulation results, the proposed algorithm can effectively reduce the computation resources to 40%, 21%, and 3.73% with only 0.0036 dB, 0.01 dB, and 0.16 dB average quality degradation, respectively. As a result, the proposed algorithm is well-suited for video coding systems that desire a power-awareness feature.
功率感知视频编码系统的多模式内容感知运动估计算法
利用视频信号的特点,提出了两种内容感知决策准则来识别运动向量的复杂性。在这两个决策准则的基础上,结合不同的运动估计算法,提出了四种不同的运动估计模式,使计算资源在不同的功率约束下动态变化。所提出的决策标准还可以通过基于质量驱动多样性的搜索方法在每个功率约束下实现质量最大化。仿真结果表明,该算法可以有效地减少40%、21%和3.73%的计算资源,平均质量下降分别为0.0036 dB、0.01 dB和0.16 dB。因此,所提出的算法非常适合需要功率感知特性的视频编码系统。
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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