Adaptive Motion Estimation Algorithm Based on Bayesian Decision
Jun Han · Video Engineering · 2011
An adaptive video motion estimation algorithm based on Bayesian decision is proposed to improve the speed and accuracy of the motion vector prediction in video motion estimation.Bayesian theory,space consistency of MV and the encoded frame′s influence on current frame are made full use.Based on the known video blocks of the previous frames and the current frame,the probabilities of minimum space distance among the motion vector of the target search block and the three surrounding blocks are calculated,and the MV prediction is determined according to the Bayesian decision.Compared to the DS,the ARPS and the ARPS-3 algorithms,experimental results show that the proposed method provides faster search speed while the reconstruction quality holds unchanged.