Decision Trees for Error Concealment in Video Decoding

When macroblocks are lost in an MPEG decoder, the decoder can try to conceal the error by estimating or interpolating the missing area. Many different methods for this type of concealment have been proposed, operating in the spatial, frequency, or temporal domains, or some hybrid combination of them. In this paper, we show how the use of a decision tree that can adaptively choose among several different error concealment methods can outperform each single method. We also propose two promising new methods for temporal error concealment