DocumentCode
3094905
Title
A Self-Adaptive and Fast Motion Estimation Search Method for H.264/AVC
Author
Liu, Pengyu ; Jia, Kebin
Author_Institution
Sch. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing, China
fYear
2010
fDate
15-17 Oct. 2010
Firstpage
651
Lastpage
654
Abstract
H.264/AVC is the outstanding and significant video compression standard developed by ITU-T/ISO/IEC Joint Video Team. Motion estimation (ME) plays a key role in H.264/AVC, it concerns greatly on computational complexity especially when using the full search (FS) algorithm. Although many fast ME algorithms have been proposed to reduce the huge calculation complexity instead of FS, the ME still can not satisfy the critical real-time application´s needs. In this paper, a fast integer pixel variable block ME algorithm based on JVT which accepted UMHexagonS algorithm is presented for H.264/AVC encoder. With special considerations on the motion activity of the current macro-block, several adaptive search strategies have been utilized to significantly improve the video coding performance. The simulation results shows that the proposed algorithm maintains an unnoticeable quality loss in terms of PSNR on average compared with FS and reduces nearly 20% ME time compared with UMHexagonS while maintaining coding efficiency.
Keywords
computational complexity; data compression; motion estimation; search problems; video coding; H.264/AVC; JVT; UMHexagonS algorithm; computational complexity; fast motion estimation search method; full search algorithm; motion estimation algorithm; video coding; video compression standard; Algorithm design and analysis; Automatic voltage control; Classification algorithms; Motion estimation; Prediction algorithms; Signal processing algorithms; Software algorithms; H.264/AVC; Motion estimation; UMHexagonS; macro-block;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2010 Sixth International Conference on
Conference_Location
Darmstadt
Print_ISBN
978-1-4244-8378-5
Electronic_ISBN
978-0-7695-4222-5
Type
conf
DOI
10.1109/IIHMSP.2010.165
Filename
5636210
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