Motion and depth assisted workload prediction for parallel view synthesis

Abstract

In this paper, a parallel system together with a real-time workload balancing algorithm is proposed for view synthesis on multi-core platforms. First, a numerical relationship between the number of holes after warping and the work-load of view synthesis is derived based on correlation analysis for the texture regions. Then, according to the difference between the adjacent depth maps, a novel model is proposed to predict the synthesis workload accurately. Experimental results show that the workload difference among cores is reduced obviously and higher speedup ratio is achieved with negligible quality degradation by applying the proposed workload balancing system.