DocumentCode
3595905
Title
Sub-optimal quarter-pixel inter-prediction algorithm (SQIA)
Author
Wong, Hoi-Ming ; Au, Oscar C. ; Huang, Jinxin ; Zhang, Shiju ; Yan, W.N.
Author_Institution
Dept. of Electr. & Electron. Eng., Hong Kong Univ. of Sci. & Technol., China
Volume
2
fYear
2005
Abstract
Motion estimation (ME) is an important part of modern video coding systems to exploit temporary redundancy in a video. Motion estimation is typically per-formed firstly with integer-pixel accuracy and then at sub-pixel accuracy, which includes half-pixel and quarter-pixel accuracy. When sophisticated fast integer-pixel accuracy motion-search algorithms are used to decrease the number of search points for integer-pixel motion search, quarter-pixel motion search becomes another important processing bottleneck in the encoding process. The conventional method is to search 8 half-pixel positions around the motion vector (MV) obtained from integer-pixel motion search, then do motion search in the same way on 8 quarter-pixel positions around the MV obtained from the half-pixel motion search, therefore, in total, 16 search points are needed. The proposed algorithm, named sub-optimal quarter-pixel inter-prediction algorithm (SQIA), successfully optimizes the quarter-pixel motion search part and improves the processing speed with low PSNR penalty.
Keywords
motion estimation; optimisation; prediction theory; search problems; vectors; video coding; PSNR; integer pixel accuracy; motion estimation; motion-search algorithms; optimization; sub-optimal quarter-pixel inter-prediction algorithm; sub-pixel accuracy; temporary redundancy; video coding; Distortion measurement; Encoding; Gold; Hydrogen; Motion estimation; PSNR; Redundancy; Transform coding; Video coding; Video sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-8874-7
Type
conf
DOI
10.1109/ICASSP.2005.1415556
Filename
1415556
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