Compressed video sequences are very sensitive to channel disturbances when they are transmitted through an unreliable environment such as a wireless channel. The transmission errors not only corrupt the current decoded frame, but also propagate to the succeeding frames. Many error concealment methods have been proposed to recover the errors by exploiting temporal and spatial correlation. In this paper, we develop a multi-frame boundary matching algorithm (MF-BMA), which utilizes the boundary smoothness property not only in the decoded frame but also in the succeeding frames. The experimental results demonstrate that the proposed algorithm can provide better performance, especially when horizontal edges exist across the lost MBs.
Yen-Chi Lee, Yucel Altunbasak, Russell M. Merserea