Based　on　the　temporal　and　interview　redundancy　of　stereoscopic　video　coding,　a　fast　motion　and　disparity　estimation　algorithm　is　proposed　in　this　paper.　Firstly,　a　credible　start　point　is　designed　taking　use　of　the　view-temporal　correlation　of　neighboring　motion　and　disparity　vectors.　Secondly,　an　improved　searching　strategy　is　proposed　to　reduce　the　computational　complexity,　in　which　only　2-pixel　refinement　is　needed　around　the　start　point.　The　proposed　algorithm　can　get　both　motion　vector　and　disparity　vector　during　one　estimation　process.　The　experimental　results　demonstrate　that　the　proposed　algorithm　can　reduce　up　to　96%　coding　time　compared　with　inter-view　full　search　with　a　negligible　quality　drop.