Title :
An efficient mode pre-selection algorithm for H.264/AVC scalable video extension fractional motion estimation
Author :
Li, Gwo-Long ; Chang, Tian-Sheuan
Author_Institution :
Dept. of Electron. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Abstract :
H.264/AVC scalable video extension (SVC) adopts various advanced prediction modes to exploit the data redundancies between layers for better coding efficiency but at the cost of significantly increased computational complexity, especially for hardware realization of fractional motion estimation. This paper proposes an efficient and hardware friendly mode pre-selection algorithm which only preserves the possible prediction modes for fractional motion estimation through the pre-selection rules proposed in this paper. Simulation results demonstrate that our proposed algorithm can reduce up to 72.92% prediction modes with only 1.24% bitrate increase and 0.02dB PSNR degradation.
Keywords :
audio coding; computational complexity; motion estimation; video coding; H.264-AVC scalable video extension fractional motion estimation; PSNR degradation; coding efficiency; computational complexity; data redundancy; hardware realization; mode preselection algorithm; prediction mode; preselection algorithm; Algorithm design and analysis; Computational complexity; Hardware; Motion estimation; Prediction algorithms; Simulation; Static VAr compensators; Fractional motion estimation; H.264/AVC Scalable Extension; Inter-layer prediction; Mode pre-selection;
Conference_Titel :
Digital Signal Processing (DSP), 2011 17th International Conference on
Conference_Location :
Corfu
Print_ISBN :
978-1-4577-0273-0
DOI :
10.1109/ICDSP.2011.6004936