Fast Selection Algorithm for AVS Inter-frame Mode with Self-adaptive Threshold
Zhang Gang · Jisuanji gongcheng · 2011
In order to reduce complexity of AVS inter-frame mode selection algorithm,this paper proposes a self-adaptive threshold algorithm for inter mode fast selection.The most likely prediction mode of current macro-block is predicted by using the prediction mode correlation of adjacent macro-block and the statistical distribution of prediction modes.The adaptive threshold is set by using the rate-distortion cost correlation of the adjacent macro-block.If the rate-distortion cost of the most likely prediction mode meets the threshold criterion,the mode search exits.Experimental results show that the algorithm get higher encoding speed while maintaining AVS encoding performance.