一个复杂意识,可变位深度运动估计

Shih-Hao Wang, Chung-Neng Wang, Tihao Chiang
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引用次数: 2

摘要

由于先进的电池技术,使用不同复杂度级别的算法在便携式设备上传送多媒体内容的需求正在增加。本文描述了一种基于不同位深的像素表示和简单的场景变化检测模块的H.264复杂度感知运动估计方法。实验结果表明,在相同的搜索复杂度下,与传统的位截断方法相比,4位表示的平均PSNR提高了0.2 dB以上,1/2位表示的平均PSNR提高了2 dB以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A complexity aware, variable-bit-depth motion estimation
Demands for using different complexity level algorithms to deliver multimedia content delivery over portable devices are increasing thanks to advanced battery technology. This work describes a novel complexity aware motion estimation for H.264 based on pixel representation of different bit-depth and a simple scene change detection module. The experimental results show that with identical searching complexity, improvement on averaged PSNR is more than 0.2 dB for 4-bit representation and more than 2 dB for 1/2-bit representation as compared to the conventional bit-truncation method.
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