To　reduce　the　heavy　computational　complexity　of　uni-directional　and　bi-directional　predictions　in　multiview　video　coding　(MVC),　this　paper　proposes　a　multiview　video　coding　algorithm.　Uni-directional　prediction　is　optimized.　By　using　the　geometry　relationship　between　disparity　and　motion　vectors,　an　iterative　process　is　preformed.　In　each　process,　a　new　adaptive　search　range　is　used　to　revise　motion/disparity　vector.　At　last,　optimal　motion　and　disparity　vectors　are　achieved.　For　bi-directional　prediction,　TZSearch　algorithm　is　utilized　to　accelerate　prediction.　Furthermore,　an　early　termination　strategy　is　devised　on　the　basis　of　relationships　among　bi-directional　prediction,　model　error,　quantization　parameter　and　temporal　level.　Experimental　results　show　that　computational　complexity　can　be　significantly　reduced　while　maintaining　video　coding　performance　compared　with　JMVC　full　search　algorithm.