In this paper,to deal with the whole-frame loss of the right view in com pressed stereo video stream transmission,a low-complexity error concealment algorithm is proposed.Firstly,in order to perceive the temporal and inter-view quality of the stereo video,a fast strate gy is proposed based on the concepts of temporal similarity metric (TSM) and inter-view similarity metri c (ISM).Then,macroblocks (MBs) in the previous frame of the lost frame are matched in both temporal and inter-view domains to obtain the pixel -based TSM and ISM maps.For e ach MB in the lost right-view frame,its TSM and ISM val ues are calculated to obtain the MB prediction mode (MPM).Finally, according to the temporal consistency of video sequences,MPMs of the previous r ight-view frame are used as the MPM of the lost frame.Either motion compensation or disparity compensation can be quic kly decided and used for resilience of the lost right-view frame by the prediction mode.Experimental results show that co mpared with the existing error concealment algorithms,the proposed algorithm has superior subjective and objective qualiti es,and compared with the error concealment algorithm based on structural similarity (SSIM),its erro r concealment time is reduced by about 20% with almost the same perceptual quali ty.