An Object-based Full Frame Concealment Strategy for H.264/AVC Using True Motion Estimation

In packet-based video transmissions, packets loss may result in the loss of the whole video frame due to channel errors. A lot of error concealment algorithms have been proposed to overcome the channel errors, but most of them only can deal with the loss of macro blocks but whole frame. In this thesis, we propose an efficient full frame recovery algorithm which is based on object-based module for a new coding standard H.264/AVC. First, our proposed method estimates the true motion of each block in the reference frame. Besides, the reference frame will divided into several objects according to the estimated motion vectors. Furthermore, each object will be extrapolated to its corresponding place in the missing frame. Finally, the experimental results show that our algorithm could provide a more efficient solution to recover a missing whole frame than previous methods. In addition, based on the object-based module, our proposed method provides the better visual quality than other comparative algorithms.