Lakshman, HaricharanHaricharanLakshmanSchwarz, HeikoHeikoSchwarzTHIERRY BLUWiegand, ThomasThomasWiegand2024-03-072024-03-072011-12-01978145771303315224880https://scholars.lib.ntu.edu.tw/handle/123456789/640536Fractional sample interpolation with FIR filters is commonly used for motion compensated prediction (MCP). The FIR filtering can be viewed as a signal decomposition using restricted basis functions. The concept of generalized interpolation provides a greater degree of freedom for selecting basis functions. We implemented generalized interpolation using a combination of short IIR and FIR filters. An efficient multiplication-free design of the algorithm that is suited for hardware implementation is shown. Compared to a 6-tap FIR interpolation filter, average rate savings of 3.1% are observed. A detailed analysis of the complexity and memory bandwidth cycles compared to existing interpolation techniques for MCP is provided. © 2011 IEEE.B-spline | interpolation | motion compensated prediction | video codingconference paper10.1109/ICIP.2011.61156492-s2.0-84856304665https://api.elsevier.com/content/abstract/scopus_id/84856304665