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A fast motion estimation method prediction of motion estimation error  

Kang, Hyun-Soo (중앙대학교 첨단영상대학원 영상공학과)
Abstract
This paper presents an enhanced MSEA(multi-level successive elimination algorithm) which is a fast algorithm of the full-search motion estimation. We predict the SAD at the final level using the values of norms at the preceding levels in MSEA and then decide on whether the processing at the following levels should be proceeded or not. We skip the computation at the following levels where the processing is not meaningful anymore. Consequently, we take computational gain. For the purpose of predicting the values of SAD at each level, we first show the theoretical analysis of the value of norm at each level, which is verified by experiments. Based on the analysis a new motion estimation method is proposed and its performance is evaluated.
Keywords
motion estimation; MSEA; full-search algorithm; video coder;
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