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With the development of communications and network technologies, video streaming service is becoming increasingly important. However, in the transmission of high compressed video, bit-stream is easily damaged by channel errors which will lead to the decline of the video sequence. Error concealment is an effective approach to reduce the influence in error-prone network and notably improve the video quality. This paper presents a novel error concealment algorithm for temporal video error concealment with H.264/AVC standard. This method exploits both spatial and temporal information in the reference and current frame. To increase the accuracy, the macro block (MB) is divided into 16 4 u 4 blocks. The reference frame is classified by k-means clustering algorithm. The lost blocks are recovered by the neighboring blocks which belong to the same class of the lost block. The experimental result shows that our method can achieve a better performance than the existing methods.

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