Title :
Fast Mode Decision for H.264 Based on Rate-Distortion Cost Estimation
Author :
Yao-Chung Lin ; Fink, T. ; Bellers, E.
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., CA, USA
Abstract :
A fast mode decision algorithm for an H.264 encoder is proposed which reduces computation by using a statistical dependency of macroblock rate-distortion (RD) costs. The algorithm skips the motion estimation and/or intra prediction mode decision with an adaptive threshold. The simulation results show that the proposed algorithm achieves an almost 2X speedup with negligible degradation in coding efficiency.
Keywords :
motion estimation; rate distortion theory; statistical analysis; video coding; H.264 encoder; adaptive threshold; fast mode decision algorithm; intraprediction mode decision; macroblock rate-distortion cost estimation; motion estimation; statistical dependency; Automatic voltage control; Computational efficiency; Computational modeling; Cost function; Degradation; Feature extraction; Lagrangian functions; Motion estimation; Rate-distortion; Video coding; H.264/AVC; Video coding; mode decision;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0727-3
DOI :
10.1109/ICASSP.2007.366113
