In order to improve the quality of damaged stereoscopic video,a new error concea lment algorithm based on macroblock′s (MB′s) motion characteristics for the loss of MBs in ste reoscopic video is proposed.Firstly,motion and motionless maps in the lost frame of the right view in stereoscopic video ar e estimated according to the motion information of the adjacent correctly decoded frames in the left and right views ,and the losses of MBs are classified into motion MBs and motionless MBs.Motionless MBs can be simply restored by copying the pre vious frame of the lost frame.For motion MBs,the three optimal candidate MBs can be selected by the outer border matching criterion,and the candidate MBs′ weights are determined by the outer border matching distortion values to g ain a new replacement.Finally,according to the optimal candidate MBs and the new replacement MB′s boundary matching value, the optimal candidate block or interpolation method can be adaptively selected to recover the lost inf ormation.Experimental results show that the proposed algorithm can efficiently improve the subjective and objective quality of the concealed lost f rames.The peak signal-to-noise ratio (PSNR) of concealed frames is improved by about 0.77－3.22dB on average compared with concealment method in JM under d ifferent quantization parameter (QP) values and different macroblock loss rates.