This　paper　proposes　an　iterative　search　strategy　for　joint　motion　and　disparity　estimation　in　order　to　eliminate　the　temporal　and　inter-view　redundancies　of　multiview　video.　This　iterative　search　strategy　can　work　with　an　adaptive　search　range　adjustment　through　a　confidence　measure　of　a　loop　constraint　to　obtain　both　motion　and　disparity　vectors　simultaneously　with　low　complexity.　Experimental　results　demonstrate　that　the　proposed　algorithm　outperforms　the　conventional　algorithm　which　estimates　disparity　and　motion　vectors　separately.