DocumentCode :
479473
Title :
Fast Inter Mode Decision Algorithm Using Spatiotemporal Characteristic of Motion Vector Field
Author :
Gao, Peng ; Shen, Liquan ; Teng, Guowei ; Xie, Jinhui
Author_Institution :
Acad. of Broadcasting Sci., SARFT, Beijing
Volume :
1
fYear :
2008
fDate :
11-13 Nov. 2008
Firstpage :
912
Lastpage :
918
Abstract :
H.264 employs variable size motion compensation with multiple reference frames, which significantly improve the coding performance compared with the previous video coding standards. However, this comes with a cost of extremely high computational complexity. Thus, one of the most challenging problems in implementing real time H.264 encoder is mode decision. In this paper, a fast inter mode decision algorithm is proposed to reduce the candidate mode set, which utilizes two basic elements, spatiotemporal characteristic of motion vector field and texture homogeneity. Spatiotemporal characteristic of motion vector field is first used to detect macroblocks (MB) in background or the interior of a motion object and early terminate mode decision. Otherwise, texture homogeneity is exploited to skip unnecessary prediction modes for MBs in the boundary region of motion objects. Simulation results show that our proposed algorithm can save 52% average computational complexity, with negligible loss of coding efficiency.
Keywords :
motion compensation; video coding; H.264 encoder; fast inter mode decision algorithm; macroblocks; motion vector field; spatiotemporal characteristics; texture homogeneity; video coding; Computational complexity; Costs; Encoding; Information technology; Motion detection; Motion estimation; Object detection; Spatiotemporal phenomena; Standards development; Video coding; H.264; image processing; video coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Convergence and Hybrid Information Technology, 2008. ICCIT '08. Third International Conference on
Conference_Location :
Busan
Print_ISBN :
978-0-7695-3407-7
Type :
conf
DOI :
10.1109/ICCIT.2008.62
Filename :
4682147
Link To Document :
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