DocumentCode :
2933714
Title :
Predictive mode reduction and selective pixel matching based motion estimation algorithm for H.264
Author :
Zeng, Huanqiang ; Cai, Canhui ; Mitra, Sanjit K.
Author_Institution :
Huaqiao Univ., Quanzhou
fYear :
2007
fDate :
Nov. 28 2007-Dec. 1 2007
Firstpage :
486
Lastpage :
489
Abstract :
Motion estimation (ME) algorithm is used in H.264 to improve the coding efficiency. However, it results in very high computational load. In this paper, a novel fast ME algorithm with reduced computational complexity is proposed. First, a predictive mode reduction method is used to free the encoder from checking the small block types in the homogeneous region. Second, a selective pixel matching scheme and a simplified optimal reference frame discrimination strategy are employed to find the best full-pixel motion vector. Finally, direction based selection rule is utilized to diminish the searching points in sub-pixel ME process. Experimental results have shown that the proposed algorithm achieves a reduction of 87% ME process time on average, while incurring only 0.033 dB loss in PSNR and 0.56% increment on the total bit rate compared with that of exhaustive ME process, which is a default approach set in the JM reference software.
Keywords :
computational complexity; image matching; image resolution; motion estimation; video coding; H.264; computational complexity; direction based selection rule; full-pixel motion vector; homogeneous region; motion estimation; optimal reference frame discrimination strategy; predictive mode reduction; selective pixel matching; Automatic voltage control; Computational complexity; IEC standards; IPTV; ISO standards; Information science; Motion estimation; Signal processing algorithms; Smart pixels; Video coding; H.264/AVC; Video coding; motion estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Signal Processing and Communication Systems, 2007. ISPACS 2007. International Symposium on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-1447-5
Electronic_ISBN :
978-1-4244-1447-5
Type :
conf
DOI :
10.1109/ISPACS.2007.4445930
Filename :
4445930
Link To Document :
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