Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/70311
Title: Fast sub-pixel motion estimation for H.264
Authors: Lim, H.Y.
Kassim, A.A. 
Issue Date: 2006
Source: Lim, H.Y.,Kassim, A.A. (2006). Fast sub-pixel motion estimation for H.264. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4179 LNCS : 242-252. ScholarBank@NUS Repository.
Abstract: Due to the variable block sizes and multi-reference frame used in the H.264/AVC standard; the motion estimation process becomes even more computationally intensive, resulting in a very low encoding speed. To overcome this low encoding speed, fast motion estimation algorithms such as UMHexagonS [1] and EPZS [2] have been proposed. Since the integerpixel motion estimation speed has significantly decreased, the fractional or sub-pixel motion estimation speed is no longer non-negligible. We propose a fast sub-pixel motion estimation algorithm using an adaptive rood pattern based on the fractional motion vector of adjacent blocks and also a simplified small diamond search. Our algorithm is able to reduce the number of sub-pixel search points by more than 50%, while restricting the PSNR loss to less than 0.1 dB, compared to the hierarchical fractional pixel search. © Springer-Verlag Berlin Heidelberg 2006.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/70311
ISBN: 3540446303
ISSN: 03029743
Appears in Collections:Staff Publications

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