为了减少传输差错对视频解码质量造成的影响，首先分析了多种典型的视频差错掩盖算法，并在AVS-M平台进行测试。然后基于测试结果，提出了一种适用于AVS-M的自适应时空域差错掩盖算法。该算法首先根据时域掩盖的边框匹配程度判断受损图像中是否出现了新物体，然后自适应地选择空域或时域方式进行掩盖。实验结果表明，相对于单独的空域／时域掩盖，该算法进一步改善了受损图像的掩盖效果，主观质量的提高尤其明显。

To reduce the influence on video decoding quality induced by transmition error, This paper analyzes several classical error concealment methods and evaluates them on AVS-M. Based on the test result, an adaptive spatial-temporal error concealment (ASTEC) algorithm is proposed. According to the boundary matching degree of switch between spatial/temporal concealment methods adaptively. Simulation results show that, compared with the original spatial and temporal method, the proposed algorithum achieves better performance, especially on the quality of reconstructed image.