To　reduce　the　complexity　of　multi-view　video　coding,　a　fast　joint　motion　and　disparity　estimation　algorithm　based　on　the　view-temporal　hierarchical　B　picture　coding　structure　is　proposed.　By　using　the　geometry　correlation　between　motion　and　disparity　vectors　among　neighboring　view　frames,　a　reliable　starting　point　is　found　firstly.　An　iterative　search　strategy　is　then　carried　out　around　the　starting　point　to　get　optimal　motion　vector　and　disparity　vector　in　both　temporal　and　view　directions.　The　proposed　algorithm　takes　use　of　the　prediction　vector　of　previous　motion　or　disparity　field　for　the　next　disparity　or　motion　field.　It　can　get　both　motion　and　disparity　vectors　simultaneously　during　one　estimation　process.　Experimental　results　demonstrate　that　the　proposed　algorithm　can　successfully　save　up　to　87.69%　computational　complexity　as　compared　with　JMVM　full　search　algorithm　with　a　negligible　quality　drop.