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https://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 | Citation: | 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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