compresses more than one viewpoint of a scene captured by different cameras. Redundancies between views and frames are used for inter-view and inra-view prediction ,respectively, in encoding and in Error Concealment (EC) in decoding. As MVC has high error sensitivity, EC algorithms are developed to improve the quality of decoded frames. In this paper, efficient multi-view EC algorithm is proposed for intra MBs and inters MBs exploiting the spatial, inter-view and inra-view information of neighboring MBs. For Intra MBs, Spatial-Inter View (SIV) algorithm is proposed. For inter MBs, the proposed algorithm is adaptively changed according to size of lost MB. In addition, the algorithm dynamically candidates MBs according to the current used view in EC operation. Then the algorithm self generates more candidate MBs depending on best matched MB to get higher matched MB. It is shown that the proposed algorithm leads to better subjective quality in addition to higher PSNR values. By applying the proposed algorithm, the gain is improved by up to 12.4 dB and 0.73 dB compared with the case of not applying any EC algorithms and the case of applying normal EC algorithm respectively at 22% Loss Rate (LR).