Estima？？o de movimento com uso de sequências de baixa discrepancia para compress？o de vídeo

in video processing, a significant problem is the motion estimation, since it corresponds to approximately 80% of the computational effort in video coding systems. in part this complexity is due to the measure of similarity used in the block matching. in this article, instead of using a measure that evaluates every pixel within a block, it uses one that selects a subset of these pixels induced by a sequence of low discrepancy. the proposed method is applied to the three step search (tss), typically used as a technique for motion estimation in video applications video at a low transfer rate. the results show a reduction in computational complexity of about 90% with regard to the tss, with little degradation in the recovered frame.