Fast iterative search for motion and disparity estimation in stereoscopic video coding

In this paper, a fast algorithm is proposed to speed up the motion and disparity estimation in stereoscopic video coding. Based on the stereo-motion consistency constraint, an iterative search strategy is suggested to get the motion and disparity vectors simultaneously. A credible base vector selection scheme and an adaptive search range adjustment technique are designed to further strengthen the iterative search. Results show that the complexity can be significantly reduced compared to the JMVM full search with a negligible quality drop.