DocumentCode :
2867919
Title :
A quadratic prediction based fractional-pixel motion estimation algorithm for H.264
Author :
Chang, Jing-Fu ; Leou, Jin-Jang
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Chung Cheng Univ., Chiayi, Taiwan
fYear :
2005
fDate :
12-14 Dec. 2005
Abstract :
In this study, a quadratic prediction based fractional-pixel motion estimation (ME) algorithm for H.264 is proposed. Here, a "degenerate" quadratic function is used to determine the "best" quantized predicted fractional-pixel motion vector (MV) for a variable size block. Based on the partial probability distribution of the sum of absolute component differences between the best fractional-pixel MV determined by the full search ME algorithm and the "best" quantized predicted fractional-pixel MV determined by the proposed algorithm, a small diamond search pattern (SDSP) is used to determine the final best MV at 1/4-pixel accuracy and the SDSP will be applied at most 3 times. Additionally, if both the best quantized predicted fractional-pixel MV determined by the proposed algorithm and that determined by the center biased fractional-pixel search (CBFPS) algorithm are identically (0,0), (0,0) is directly determined as the final best MV at 1/4-pixel accuracy. Based on the experimental results obtained in this study, the four ME performance measures of the proposed algorithm are better than that of four comparison algorithms, with slight degradations in average PSNR and bit rate.
Keywords :
computational complexity; motion estimation; search problems; vector quantisation; video coding; H.264; center biased fractional-pixel search; fractional-pixel motion estimation algorithm; predicted fractional-pixel motion vector; probability distribution; quadratic function; quadratic prediction; small diamond search pattern; Bit rate; Computational complexity; Computer science; Councils; Degradation; Motion estimation; PSNR; Probability distribution; Video coding; Video compression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia, Seventh IEEE International Symposium on
Print_ISBN :
0-7695-2489-3
Type :
conf
DOI :
10.1109/ISM.2005.19
Filename :
1565872
Link To Document :
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