DocumentCode :
3514972
Title :
H.264 fast intra mode selection algorithm based on direction difference measure in the pixel domain
Author :
Wang, Li-li ; Siu, Wan-chi
Author_Institution :
Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., Kowloon
fYear :
2009
fDate :
19-24 April 2009
Firstpage :
1037
Lastpage :
1040
Abstract :
In this paper, a fast mode decision algorithm for intra prediction in the H.264/AVC is proposed. We use the characteristics of each directional prediction mode to compute the strength of directional differences in the original pixel domain to find the minimal direction error. This is the first time reported in the literature that the intrinsic differences between the real-data and the predictors of modes are used to form an algorithm for mode decision. The approach allows us to select several better candidate modes for evaluation instead of using the full search. Experimental results show that the proposed method can achieve more than 80% reduction in computation with negligible degradation in rate-distortion performance, and the results are better than other algorithms available in the literature.
Keywords :
decision theory; optimisation; prediction theory; rate distortion theory; video coding; H.264 fast intra mode selection algorithm; H.264/AVC; direction difference measure; directional prediction mode; fast mode decision algorithm; minimal direction error; pixel domain; rate distortion optimization method; Arithmetic; Automatic voltage control; Computational complexity; Degradation; Lagrangian functions; Motion estimation; Optimization methods; Prediction algorithms; Rate-distortion; Video coding; H.264/AVC; RDO; fast mode decision; intra prediction; prediction error;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
ISSN :
1520-6149
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2009.4959764
Filename :
4959764
Link To Document :
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