Enhanced Adaptive Interpolation Filters for Video Coding

Yan Ye, G. Motta, M. Karczewicz
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引用次数: 16

Abstract

H.264/AVC uses motion compensated prediction with fractional-pixel precision to reduce temporal redundancy of the input video signal. It has been shown that the Adaptive Interpolation Filter (AIF) framework [3] can significantly improve accuracy of the motion compensated prediction. In this paper, we present the Enhanced Adaptive Interpolation Filters (E-AIF) scheme, which enhances the AIF framework with a number of useful features, aimed at both improving performance and reducing complexity. These features include the full-pixel position filter and the filter offset, the radial-shaped 12-position filter support, and a RD-based filter selection. Simulations show that E-AIF can achieve up to 20% bit rate reduction compared to H.264/AVC. Compared to all other AIF schemes, E-AIF further reduces the bit rate by up to 6%, and demonstrates the highest performance consistently.
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增强自适应插值滤波器的视频编码
H.264/AVC采用分数像素精度的运动补偿预测来减少输入视频信号的时间冗余。研究表明,自适应插值滤波器(Adaptive Interpolation Filter, AIF)框架[3]可以显著提高运动补偿预测的精度。在本文中,我们提出了增强自适应插值滤波器(E-AIF)方案,该方案通过许多有用的特性增强了AIF框架,旨在提高性能和降低复杂性。这些功能包括全像素位置滤波器和滤波器偏移,径向12位置滤波器支持,以及基于rd的滤波器选择。仿真结果表明,与H.264/AVC相比,E-AIF可以实现高达20%的比特率降低。与所有其他AIF方案相比,E-AIF进一步降低比特率高达6%,并始终表现出最高的性能。
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