DocumentCode
2202576
Title
A Novel Inter-frame Mode Decision Prediction Algorithm 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
1-3 Nov. 2010
Firstpage
576
Lastpage
579
Abstract
H.264/AVC the latest international video coding standard achieves higher compression efficiency than previous video coding standards. However, this performance gain comes at the cost of an increased computational complexity. To achieve a high coding efficiency, H.264/AVC employs complex mode decision techniques based on Rate-Distortion Optimization, the computational complexity is very high. This is a major bottleneck for the H.264/AVC in real-time application. Inter-frame prediction coding is one of the most important parts in H.264/AVC. In order to reduce the computational complexity, a fast mode decision algorithm based-on the characteristic of macro-block is proposed for Inter-frame in H.264/AVC in this paper. With the new algorithm, the amount of computation involved in the motion estimation and mode decision can be substantially reduced. Simulation results show that the proposed algorithm can reduce about 70% on average of the total encoding time, with a slight increase in bit-rate and a negligible PSNR drop.
Keywords
computational complexity; data compression; motion estimation; rate distortion theory; video coding; H.264/AVC video coding standard; coding efficiency; compression efficiency; computational complexity; fast mode decision algorithm; interframe mode decision prediction algorithm; interframe prediction coding; macroblock characteristic; motion estimation; rate-distortion optimization; H.264/AVC; Inter-frame Prediction; macro-block; mode decision;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Networks and Intelligent Systems (ICINIS), 2010 3rd International Conference on
Conference_Location
Shenyang
Print_ISBN
978-1-4244-8548-2
Electronic_ISBN
978-0-7695-4249-2
Type
conf
DOI
10.1109/ICINIS.2010.164
Filename
5693770
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