DocumentCode
2927828
Title
A New Fast Motion Estimation Algorithm Based on H.264
Author
Li Hong-ye ; Liu Ming-jun ; Zhang Zhi-qiang
Author_Institution
Sch. of Inf. Sci. & Eng., Univ. of Jinan, Jinan, China
Volume
1
fYear
2009
fDate
18-20 Nov. 2009
Firstpage
287
Lastpage
290
Abstract
The block motion estimation is a very time consuming part in the H.264 video coding standard. Although many fast motion estimation algorithms have been proposed to reduce the huge calculation complexity instead of full search, the motion estimation time still can not satisfy the critical real-time application. This paper proposes a new fast motion estimation algorithm, which improves on the UMHexagonS algorithm. Firstly, the introduction of a new square pattern takes the place of the 5 x 5 spiral search to reduce the search point. Secondly, the multi-hexagon-grid search is replaced by a multi-octagon-gird search in order to reduce the computational complexity and effectively predict the optimal motion vector. Thirdly, by increasing the conditions and type of patterns, the proposed algorithm can adaptively adopt directional search patterns for different block types to accelerate the search speed. The simulation experimentation results show that the proposed algorithm can reduce 30%-40% of the computational complexity compared with the UMHexagonS algorithm without loss of its coding accuracy.
Keywords
computational complexity; motion estimation; video coding; H.264 video coding standard; UMHexagonS algorithm; calculation complexity; computational complexity; directional search patterns; motion estimation algorithm; multihexagon-grid search; multioctagon-gird search; real-time application; Acceleration; Computational complexity; Computational modeling; Information science; Information security; Motion estimation; Pattern matching; Spirals; Video coding; Video compression; H.264; UMHexagonS algorithm; block motion estimation; octagon pattern; square pattern;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Information Networking and Security, 2009. MINES '09. International Conference on
Conference_Location
Hubei
Print_ISBN
978-0-7695-3843-3
Electronic_ISBN
978-1-4244-5068-8
Type
conf
DOI
10.1109/MINES.2009.49
Filename
5370025
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