Low-complexity scheme for adaptive interpolation filter based on amplitude characteristic analysis

Motion-compensated (MC) prediction is one of the most effective coding tools for high-compression video coding. In former works, adaptive interpolation filter (AIF) technology, which improves the coding performance of the fractional-pel MC, has been proposed. As for the real-time codec system, the implementation of AIF based on the Wiener filter algorithm is difficult because of its high computational complexity. To overcome this problem, in this paper, we propose a low-complexity AIF scheme, which can maintain the coding performance achieved by the conventional AIF. The key technology is the efficient filter design process based on the amplitude characteristic analysis with the precise estimation of MC error signal. The experimental result confirmed that almost the same coding performance was maintained at only 30% of the complexity compared to the conventional AIF.